首页 磁力链接怎么用

A deep understanding of deep learning (with Python intro)

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2021-8-29 16:28 2024-5-22 05:58 208 21.09 GB 253
磁力链接
magnet:?xt=urn:btih:423a996f5a41b9a7a5512244b26e1cc6caab5c12
迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOjQyM2E5OTZmNWE0MWI5YTdhNTUxMjI0NGIyNmUxY2M2Y2FhYjVjMTJaWg==
二维码链接
A deep understanding of deep learning (with Python intro)的二维码
种子下载(838888不存储任何种子文件)
种子下载线路1(迅雷)--推荐
种子下载线路2(比特彗星)
种子下载线路3(torcache)
3条线路均为国内外知名下载网站种子链接，内容跟本站无关！
相关链接

A deep understanding of deep learning with Python intro

文件列表
  1. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/005 Examine feature map activations.mp4260.56MB
  2. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/22 Style transfer/004 Transferring the screaming bathtub.mp4216.82MB
  3. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4201.31MB
  4. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/002 CNN to classify MNIST digits.mp4200.33MB
  5. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/013 Multi-output ANN (iris dataset).mp4186.77MB
  6. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/004 Classify Gaussian blurs.mp4185.14MB
  7. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/004 Dropout regularization in practice.mp4183.23MB
  8. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/16 Autoencoders/006 Autoencoder with tied weights.mp4177.74MB
  9. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/003 Convolution in code.mp4173.1MB
  10. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/08 Overfitting and cross-validation/006 Cross-validation -- DataLoader.mp4172.32MB
  11. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/23 Generative adversarial networks/002 Linear GAN with MNIST.mp4169.9MB
  12. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/009 Learning rates comparison.mp4168.64MB
  13. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/003 CodeChallenge_ unbalanced data.mp4166.26MB
  14. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/003 FFN to classify digits.mp4161.85MB
  15. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/16 Autoencoders/005 The latent code of MNIST.mp4161.81MB
  16. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/018 Model depth vs. breadth.mp4158.91MB
  17. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/007 Data feature augmentation.mp4158.27MB
  18. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/21 Transfer learning/007 Pretraining with autoencoders.mp4156.58MB
  19. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/14 FFN milestone projects/004 Project 2_ My solution.mp4155.73MB
  20. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/21 Transfer learning/008 CIFAR10 with autoencoder-pretrained model.mp4153.34MB
  21. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/008 ANN for classifying qwerties.mp4151.12MB
  22. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/21 Transfer learning/005 Transfer learning with ResNet-18.mp4148.46MB
  23. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/008 Do autoencoders clean Gaussians_.mp4147.88MB
  24. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/15 Weight inits and investigations/009 Learning-related changes in weights.mp4146.78MB
  25. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/010 Multilayer ANN.mp4144.7MB
  26. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/002 The _wine quality_ dataset.mp4143.5MB
  27. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/08 Overfitting and cross-validation/005 Cross-validation -- scikitlearn.mp4142.88MB
  28. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/25 Where to go from here_/002 How to read academic DL papers.mp4141.85MB
  29. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/012 Creating and using custom DataLoaders.mp4139.53MB
  30. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/007 CodeChallenge_ manipulate regression slopes.mp4139.12MB
  31. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/16 Autoencoders/004 AEs for occlusion.mp4138.2MB
  32. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/015 Loss functions in PyTorch.mp4138.1MB
  33. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/011 Discover the Gaussian parameters.mp4136.65MB
  34. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/003 Dropout regularization.mp4136.03MB
  35. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/001 Anatomy of a torch dataset and dataloader.mp4135.84MB
  36. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/23 Generative adversarial networks/004 CNN GAN with Gaussians.mp4135.7MB
  37. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/002 Data size and network size.mp4135.67MB
  38. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/06 Gradient descent/007 Parametric experiments on g.d.mp4135.61MB
  39. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/006 ANN for regression.mp4135.5MB
  40. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/16 Autoencoders/003 CodeChallenge_ How many units_.mp4135.38MB
  41. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/15 Weight inits and investigations/005 Xavier and Kaiming initializations.mp4134.08MB
  42. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/010 CodeChallenge_ Custom loss functions.mp4132.89MB
  43. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/016 Depth vs. breadth_ number of parameters.mp4132.07MB
  44. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/011 Image transforms.mp4129.9MB
  45. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/15 Weight inits and investigations/006 CodeChallenge_ Xavier vs. Kaiming.mp4126.5MB
  46. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/010 Save the best-performing model.mp4126.5MB
  47. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/005 Data oversampling in MNIST.mp4122.59MB
  48. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/013 CodeChallenge_ Predict sugar.mp4122.1MB
  49. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/15 Weight inits and investigations/002 A surprising demo of weight initializations.mp4121.57MB
  50. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/03 Concepts in deep learning/003 The role of DL in science and knowledge.mp4121.55MB
  51. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/006 CodeChallenge_ Softcode internal parameters.mp4120.1MB
  52. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/06 Gradient descent/003 Gradient descent in 1D.mp4119.29MB
  53. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/003 CodeChallenge_ Minibatch size in the wine dataset.mp4118.79MB
  54. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/21 Transfer learning/003 CodeChallenge_ letters to numbers.mp4118.74MB
  55. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/20 CNN milestone projects/002 Project 1_ My solution.mp4118.6MB
  56. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/16 Autoencoders/002 Denoising MNIST.mp4118.53MB
  57. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/006 Distributions of weights pre- and post-learning.mp4116.26MB
  58. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/03 Concepts in deep learning/005 Are artificial _neurons_ like biological neurons_.mp4114.65MB
  59. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/06 Gradient descent/008 CodeChallenge_ fixed vs. dynamic learning rate.mp4114.56MB
  60. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/007 L2 regularization in practice.mp4110.47MB
  61. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/29 Python intro_ Functions/008 Classes and object-oriented programming.mp4108.18MB
  62. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/31 Python intro_ Text and plots/004 Making the graphs look nicer.mp4107.66MB
  63. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/13 Measuring model performance/004 APRF example 1_ wine quality.mp4107.35MB
  64. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/006 Data noise augmentation (with devset+test).mp4106.09MB
  65. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/010 Entropy and cross-entropy.mp4106MB
  66. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/15 Weight inits and investigations/004 CodeChallenge_ Weight variance inits.mp4103.96MB
  67. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/002 The MNIST dataset.mp4101.46MB
  68. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/005 The Conv2 class in PyTorch.mp4100.19MB
  69. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/30 Python intro_ Flow control/010 Function error checking and handling.mp499.87MB
  70. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/016 More practice with multioutput ANNs.mp499.8MB
  71. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/14 FFN milestone projects/002 Project 1_ My solution.mp499.75MB
  72. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/008 L1 regularization in practice.mp499.44MB
  73. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/13 Measuring model performance/005 APRF example 2_ MNIST.mp498.62MB
  74. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/08 Overfitting and cross-validation/004 Cross-validation -- manual separation.mp498.3MB
  75. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/017 Optimizers (minibatch, momentum).mp498.07MB
  76. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/001 Convolution_ concepts.mp498.06MB
  77. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/009 Activation functions.mp497.03MB
  78. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/023 Learning rate decay.mp496.9MB
  79. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/21 Transfer learning/001 Transfer learning_ What, why, and when_.mp496.61MB
  80. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/005 CodeChallenge_ Data normalization.mp496.25MB
  81. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/008 Softmax.mp495.96MB
  82. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/06 Gradient descent/005 Gradient descent in 2D.mp495.9MB
  83. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/012 CodeChallenge_ Effects of mini-batch size.mp495.42MB
  84. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/007 CodeChallenge_ MNIST and breadth vs. depth.mp495.21MB
  85. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/014 CodeChallenge_ more qwerties!.mp495.1MB
  86. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/31 Python intro_ Text and plots/001 Printing and string interpolation.mp494.83MB
  87. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/007 CodeChallenge_ How wide the FC_.mp494.08MB
  88. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/31 Python intro_ Text and plots/006 Images.mp493.56MB
  89. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/15 Weight inits and investigations/008 Freezing weights during learning.mp493.15MB
  90. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/007 Transpose convolution.mp492.89MB
  91. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/015 CodeChallenge_ Varying number of channels.mp492.37MB
  92. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/010 Activation functions in PyTorch.mp491.46MB
  93. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/30 Python intro_ Flow control/002 If-else statements, part 2.mp491.12MB
  94. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/30 Python intro_ Flow control/008 while loops.mp491.1MB
  95. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/30 Python intro_ Flow control/006 Initializing variables.mp491.05MB
  96. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/21 Transfer learning/002 Transfer learning_ MNIST -_ FMNIST.mp490.35MB
  97. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/014 Loss functions.mp490.3MB
  98. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/23 Generative adversarial networks/001 GAN_ What, why, and how.mp489.74MB
  99. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/017 Defining models using sequential vs. class.mp489.48MB
  100. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/009 CodeChallenge_ AEs and occluded Gaussians.mp489.45MB
  101. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/010 Batch training in action.mp489.1MB
  102. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/008 Max_mean pooling.mp489.07MB
  103. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/17 Running models on a GPU/001 What is a GPU and why use it_.mp488.73MB
  104. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/29 Python intro_ Functions/005 Creating functions.mp488.43MB
  105. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/011 Min_max and argmin_argmax.mp488.21MB
  106. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/08 Overfitting and cross-validation/002 Cross-validation.mp488.19MB
  107. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/15 Weight inits and investigations/007 CodeChallenge_ Identically random weights.mp488.17MB
  108. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/30 Python intro_ Flow control/003 For loops.mp487.13MB
  109. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/020 Optimizers comparison.mp486.88MB
  110. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/31 Python intro_ Text and plots/003 Subplot geometry.mp486.78MB
  111. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/007 Matrix multiplication.mp485.67MB
  112. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/013 Random sampling and sampling variability.mp485.42MB
  113. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/006 Weight regularization (L1_L2)_ math.mp485.41MB
  114. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/001 The perceptron and ANN architecture.mp483.64MB
  115. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/013 Dropout in CNNs.mp482.73MB
  116. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/13 Measuring model performance/007 Computation time.mp481.73MB
  117. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/015 The t-test.mp481.36MB
  118. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/29 Python intro_ Functions/003 Python libraries (pandas).mp481.19MB
  119. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/009 Pooling in PyTorch.mp481.02MB
  120. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/012 Mean and variance.mp480.57MB
  121. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/016 Derivatives_ intuition and polynomials.mp480.3MB
  122. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/001 Regularization_ Concept and methods.mp480.05MB
  123. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/15 Weight inits and investigations/003 Theory_ Why and how to initialize weights.mp479.41MB
  124. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/08 Overfitting and cross-validation/007 Splitting data into train, devset, test.mp479.21MB
  125. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/27 Python intro_ Data types/003 Math and printing.mp478.5MB
  126. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/010 Shifted MNIST.mp477.91MB
  127. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/27 Python intro_ Data types/002 Variables.mp477.58MB
  128. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/06 Gradient descent/004 CodeChallenge_ unfortunate starting value.mp477.09MB
  129. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/27 Python intro_ Data types/007 Booleans.mp476.83MB
  130. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/006 Batch normalization.mp476.81MB
  131. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/019 Optimizers (RMSprop, Adam).mp476.73MB
  132. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/17 Running models on a GPU/002 Implementation.mp476.6MB
  133. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/20 CNN milestone projects/005 Project 4_ Psychometric functions in CNNs.mp476.27MB
  134. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/14 FFN milestone projects/006 Project 3_ My solution.mp475.48MB
  135. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/24 Ethics of deep learning/004 Will deep learning take our jobs_.mp475.14MB
  136. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/30 Python intro_ Flow control/007 Single-line loops (list comprehension).mp475.14MB
  137. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/03 Concepts in deep learning/004 Running experiments to understand DL.mp474.84MB
  138. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/011 CodeChallenge_ The mystery of the missing 7.mp474.25MB
  139. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/011 Activation functions comparison.mp473.9MB
  140. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/08 Overfitting and cross-validation/001 What is overfitting and is it as bad as they say_.mp473.13MB
  141. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/03 Concepts in deep learning/002 How models _learn_.mp472.79MB
  142. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/13 Measuring model performance/002 Accuracy, precision, recall, F1.mp472.57MB
  143. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/015 Comparing the number of hidden units.mp471.15MB
  144. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/30 Python intro_ Flow control/009 Broadcasting in numpy.mp471.05MB
  145. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/002 A geometric view of ANNs.mp470.88MB
  146. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/002 Feature maps and convolution kernels.mp470.41MB
  147. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/24 Ethics of deep learning/005 Accountability and making ethical AI.mp470.06MB
  148. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/014 Reproducible randomness via seeding.mp469.7MB
  149. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/15 Weight inits and investigations/001 Explanation of weight matrix sizes.mp468.98MB
  150. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/06 Gradient descent/001 Overview of gradient descent.mp468.44MB
  151. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/22 Style transfer/003 The style transfer algorithm.mp467.31MB
  152. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/06 Gradient descent/002 What about local minima_.mp467.08MB
  153. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/004 Convolution parameters (stride, padding).mp466.93MB
  154. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/30 Python intro_ Flow control/001 If-else statements.mp466.8MB
  155. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/22 Style transfer/002 The Gram matrix (feature activation covariance).mp466.49MB
  156. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/24 Ethics of deep learning/003 Some other possible ethical scenarios.mp466.25MB
  157. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/29 Python intro_ Functions/006 Global and local variable scopes.mp465.96MB
  158. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/24 Ethics of deep learning/001 Will AI save us or destroy us_.mp465.92MB
  159. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/03 Concepts in deep learning/001 What is an artificial neural network_.mp465.38MB
  160. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/005 The importance of data normalization.mp464.65MB
  161. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/012 CodeChallenge_ Compare relu variants.mp463.97MB
  162. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/29 Python intro_ Functions/002 Python libraries (numpy).mp463.39MB
  163. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/23 Generative adversarial networks/003 CodeChallenge_ Linear GAN with FMNIST.mp462.73MB
  164. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/13 Measuring model performance/006 CodeChallenge_ MNIST with unequal groups.mp462.37MB
  165. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/009 Training in mini-batches.mp462.12MB
  166. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/018 SGD with momentum.mp462.1MB
  167. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/007 Batch normalization in practice.mp461.76MB
  168. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/024 How to pick the right metaparameters.mp461.74MB
  169. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/23 Generative adversarial networks/007 CodeChallenge_ CNN GAN with CIFAR.mp460.77MB
  170. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/08 Overfitting and cross-validation/008 Cross-validation on regression.mp460.35MB
  171. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/009 Scrambled MNIST.mp460.17MB
  172. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/011 The importance of equal batch sizes.mp460.11MB
  173. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/004 Data normalization.mp459.81MB
  174. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/31 Python intro_ Text and plots/005 Seaborn.mp459.72MB
  175. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/006 CodeChallenge_ Choose the parameters.mp458.71MB
  176. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/30 Python intro_ Flow control/004 Enumerate and zip.mp458.59MB
  177. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/021 Reflection_ Are DL models understandable yet_.mp458.59MB
  178. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/003 CNN on shifted MNIST.mp458.34MB
  179. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/003 ANN math part 1 (forward prop).mp457.9MB
  180. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/001 The canonical CNN architecture.mp455.83MB
  181. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/009 Save and load trained models.mp455.71MB
  182. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/018 Derivatives_ product and chain rules.mp455.63MB
  183. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/010 To pool or to stride_.mp455.51MB
  184. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/014 CodeChallenge_ How low can you go_.mp455.36MB
  185. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/27 Python intro_ Data types/004 Lists (1 of 2).mp455.04MB
  186. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/01 Introduction/001 How to learn from this course.mp454.97MB
  187. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/23 Generative adversarial networks/006 CNN GAN with FMNIST.mp454.58MB
  188. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/01 Introduction/002 Using Udemy like a pro.mp454.37MB
  189. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/004 What to do about unbalanced designs_.mp454.21MB
  190. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/005 Dropout example 2.mp453.87MB
  191. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/31 Python intro_ Text and plots/002 Plotting dots and lines.mp453.87MB
  192. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/22 Style transfer/005 CodeChallenge_ Style transfer with AlexNet.mp453.47MB
  193. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/23 Generative adversarial networks/005 CodeChallenge_ Gaussians with fewer layers.mp453.06MB
  194. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/022 CodeChallenge_ Adam with L2 regularization.mp453MB
  195. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/17 Running models on a GPU/003 CodeChallenge_ Run an experiment on the GPU.mp452.99MB
  196. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/24 Ethics of deep learning/002 Example case studies.mp452.92MB
  197. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/005 ANN math part 3 (backprop).mp452.89MB
  198. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/13 Measuring model performance/003 APRF in code.mp451.79MB
  199. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/019 CodeChallenge_ convert sequential to class.mp451.44MB
  200. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/28 Python intro_ Indexing, slicing/001 Indexing.mp451.07MB
  201. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/002 Spectral theories in mathematics.mp451.06MB
  202. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/27 Python intro_ Data types/008 Dictionaries.mp450.67MB
  203. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/14 FFN milestone projects/003 Project 2_ Predicting heart disease.mp450.61MB
  204. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/011 Linear solutions to linear problems.mp450.37MB
  205. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/006 OMG it's the dot product!.mp450.11MB
  206. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/021 CodeChallenge_ Optimizers and... something.mp449.77MB
  207. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/012 Universal approximation theorem.mp449.18MB
  208. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/16 Autoencoders/001 What are autoencoders and what do they do_.mp449.04MB
  209. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/29 Python intro_ Functions/004 Getting help on functions.mp448.6MB
  210. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/14 FFN milestone projects/001 Project 1_ A gratuitously complex adding machine.mp448.55MB
  211. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/004 ANN math part 2 (errors, loss, cost).mp448.47MB
  212. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/28 Python intro_ Indexing, slicing/002 Slicing.mp448.45MB
  213. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/20 CNN milestone projects/001 Project 1_ Import and classify CIFAR10.mp448.36MB
  214. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/27 Python intro_ Data types/005 Lists (2 of 2).mp446.69MB
  215. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/008 CodeChallenge_ Optimizers and MNIST.mp446.26MB
  216. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/02 Download all course materials/001 Downloading and using the code.mp445.65MB
  217. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/017 Derivatives find minima.mp445.47MB
  218. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/14 FFN milestone projects/005 Project 3_ FFN for missing data interpolation.mp445.39MB
  219. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/13 Measuring model performance/008 Better performance in test than train_.mp444.83MB
  220. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/009 Logarithms.mp443.88MB
  221. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/008 Getting data into colab.mp443.75MB
  222. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/31 Python intro_ Text and plots/007 Export plots in low and high resolution.mp443.57MB
  223. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/25 Where to go from here_/001 How to learn topic _X_ in deep learning_.mp442.03MB
  224. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/011 Where to find online datasets.mp441.7MB
  225. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/008 CodeChallenge_ Batch-normalize the qwerties.mp441.43MB
  226. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/21 Transfer learning/004 Famous CNN architectures.mp441.28MB
  227. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/004 CodeChallenge_ Binarized MNIST images.mp440.78MB
  228. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/22 Style transfer/001 What is style transfer and how does it work_.mp440.57MB
  229. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/13 Measuring model performance/001 Two perspectives of the world.mp440.01MB
  230. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/06 Gradient descent/006 CodeChallenge_ 2D gradient ascent.mp439.36MB
  231. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/002 train() and eval() modes.mp438.34MB
  232. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/003 Terms and datatypes in math and computers.mp438.08MB
  233. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/005 Vector and matrix transpose.mp437.66MB
  234. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/27 Python intro_ Data types/006 Tuples.mp435.75MB
  235. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/20 CNN milestone projects/003 Project 2_ CIFAR-autoencoder.mp433.37MB
  236. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/004 Converting reality to numbers.mp433.21MB
  237. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/30 Python intro_ Flow control/005 Continue.mp433.03MB
  238. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/001 What are _metaparameters__.mp432.7MB
  239. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/08 Overfitting and cross-validation/003 Generalization.mp432.44MB
  240. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/06 Gradient descent/009 Vanishing and exploding gradients.mp430.24MB
  241. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/29 Python intro_ Functions/001 Inputs and outputs.mp429.49MB
  242. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/15 Weight inits and investigations/010 Use default inits or apply your own_.mp428.05MB
  243. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/012 Why multilayer linear models don't exist.mp426.46MB
  244. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/20 CNN milestone projects/004 Project 3_ FMNIST.mp426.45MB
  245. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/001 What are fully-connected and feedforward networks_.mp425.53MB
  246. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/29 Python intro_ Functions/007 Copies and referents of variables.mp423.78MB
  247. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/04 About the Python tutorial/001 Should you watch the Python tutorial_.mp423.77MB
  248. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/06 Gradient descent/010 Tangent_ Notebook revision history.mp422.18MB
  249. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/27 Python intro_ Data types/001 How to learn from the Python tutorial.mp421.97MB
  250. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/016 So many possibilities! How to create a CNN_.mp421.04MB
  251. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/21 Transfer learning/006 CodeChallenge_ VGG-16.mp420.28MB
  252. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/001 Introduction to this section.mp411.12MB
  253. [TutsNode.com] - A deep understanding of deep learning (with Python intro)/02 Download all course materials/002 My policy on code-sharing.mp410.24MB
友情提示
不会用的朋友看这里 把磁力链接复制到离线下载，或者bt下载软件里即可下载文件，或者直接复制迅雷链接到迅雷里下载！ 亲，你造吗？将网页分享给您的基友，下载的人越多速度越快哦！

违规内容投诉邮箱：[email protected]

概述 838888磁力搜索是一个磁力链接搜索引擎，是学术研究的副产品，用于解决资源过度分散的问题 它通过BitTorrent协议加入DHT网络，实时的自动采集数据，仅存储文件的标题、大小、文件列表、文件标识符（磁力链接）等基础信息 838888磁力搜索不下载任何真实资源，无法判断资源的合法性及真实性，使用838888磁力搜索服务的用户需自行鉴别内容的真伪 838888磁力搜索不上传任何资源，不提供Tracker服务，不提供种子文件的下载，这意味着838888磁力搜索 838888磁力搜索是一个完全合法的系统
838888磁力链接 磁力链接bt种子搜索引擎磁力搜索 DMCA