Topic Answers Author Views
Errata in Deep Learning with Python 65 Susan Harkins 3549
Example 5.1 not learning 2 tinman 567
How to choose the word embeddings dimension? 0 Claude COULOMBE 13
first time evaluate is called it returns empty list 0 john.watson@gmail.com 25
Figure 5.4, seems like dimensions are wrong 0 kpierce8 34
Please express our thanks to François Chollet for his awesome book! 0 Claude COULOMBE 26
Listing 3.27 - code to make K fold validation shorter and more readable 9 Andrey C. 299
2.4.2 gradient(f)(W0), curvature interpretion 1 527106 146
Does author even reply to questions? 1 Joey 128
Hardware requirements to run the examples and exercises comfortably 1 551074 75
Questions about 3.5.6 1 509939 232
an idea of the random classifer 0 Immorwave 50
Incomplete example chapter 6.3 0 558016 53
5.4.2 Visualizing convnet filters / code without using Keras backend? 0 554754 168
Listing 5.14 1 273214 276
Listing 5.21 - Unable to reproduce results 8 Jim T 284
Unable to install Keras (moduleNotFoundError: No module named 'keras' ) 0 551074 184
Further experiments in 3.5-classifying-movie-reviews.ipynb 2 Cesar Verdes 165
No source code for Chapter 7? 1 548294 150
Datasets with image and text 0 541431 115
Word-Level One-hot encoding 0 index? 0 541431 109
Chapters 2 & 3 notes 8 timi 1545
Errata? Listing 3.32 Training the final model - most probably wrong batch_size 0 Andrey C. 131
reverse_word_index - shorter version 1 Andrey C. 161
Difference b/w predict and evaluate 3 535475 205
2D ConvNet Image Processing Questions 2 535475 215
Getting an error while importing imdb dataset 6 Shuyib 572
Listing 2.6 gives Invalid dimensions for image data 0 julio 186
Easy environment setup for running code samples in the book 1 540476 253
Chapter 7: Advanced Deep Learning Best Practices 0 Shuyib 154
typo Listing 3.20 0 WeiHua 111
Feature Extraction and Data Augmentation 0 523417 130
Elaboration on difference between ML and statistics 0 536632 171
Figure 1.2 - A new programming paradigm 1 pietz 390
The font size of the code listings in the Epub version is too small and doesn't change 1 305903 277
History in Jupyter notebook 3.5-classifying-movie-reviews 0 534139 152
Using OS X/BSD Linux with EC2 to do book examples 1 milind1944 231
Section 3.5.7, Listing 3.50 1 JWG 294
Listing 2.4: divide by 255 or 256? 4 dcer 317
Listing 6.40: why is shuffle set to True? 1 453132 276
Missing paragraphs in 6 Deep learning for text and sequences(v6) 0 Shuyib 218
Fixed Code Listings 8 58690 927
Correction Listing 3.22/3.23 0 tinman 254
Question about the 7x7 window in 5.1.2 1 graki 285
Grammar 1 361604 332
Where's the appendix to install? 1 mythicalprogrammer 490
Section 6.1.2 Word Embeddings 0 JWG 268
Section 6.1 page 167: Set vs Multiset 0 JWG 171
Figure 4.7 Effect of L2 weight regularization on validation loss 0 JWG 214
Some fixes for V6 10 Grigory Sapunov 548
Distributed Training for large dataset 4 203561 567
Listing 2.7 has wrong statements? 0 305903 222
Chapter 7 (v6) - Listings 7.6, 7.8 1 500454 319
Depthwise separable convolution number of trainable parameters - Fig 7.16 (v6) 1 renschler 313
ModelCheckpoint and EarlyStopping Callback Question - Listing 7.20 (v6) 0 renschler 194
Typo in intro 1 511907 239
Add another figure to Bidirectional RNNs Explanation 6.3.8 (v6) 0 renschler 216
Recurrent Dropout Explanation section 6.3.6 (v6) 0 renschler 214
Two minor comments in sections 1.3.4 and 3.3.1 1 ivenzor 379
2.2.2 Vectors Discussion - Things that are confusing - Rank (v6) 0 renschler 286
Listing 3.40 and Figure 3.10 ylabel mistake (v6) 0 renschler 241
Figure 3.9 title should be "loss" not "accuracy" (v6) 0 renschler 224
Figure 3.8 and Listing 3.23 ylabel mistakes (v6) 0 renschler 260
Figure 2.5 mistake (v6) 0 renschler 223
Misleading labels in description of broadcasting, sec 2.3.2 (MEAP v6) 0 25765 226
Listing 5.31 code error 2 444147 597
Listing 5.9 += os.path.exists() 0 svenproppert 203
Some error in Figure 5.15 and 5.16 2 508012 325
Chapter 3.6 - Why does batch_size change in final model? 0 svenproppert 201
Listing 6.8. Processing the labels of the raw IMDB data 0 244679 276
Early Stopping 0 478941 250
Typo error in chapter 5 0 508012 251
Sourcecode available? 11 256688 1421
Can be explained(relu(x) is simply max(x, 0).) better by adding numbering 0 ironpython 236
section 5.1.1: invariant vs equivariant 0 330772 231
plot 5.27 unable to reproduce the graph 0 mythicalprogrammer 245
Listing 5.20 what's the point of reshaping to (1, 150, 150, 3)? 0 mythicalprogrammer 267
Improve code in listing 2.21 0 504397 241
Reinforcement learning examples 0 Shuyib 288
Chapter 3 Model compiling 0 evohnave 239
SSE4 and AVX TensorFlow Warnings 0 evohnave 419
Google cloud deep learning instances 0 Yaakov Belch 294
Top verses Bottom of a network 0 361604 218
Adding Dropout: layer position in model 0 ythyth 300
Listing 4.9 Dropout Implementation 0 ythyth 260
Listing 7.8. Functional API implementation of a three-output model 0 273214 242
Listing 7.7. Feeding data to a multi-input model 0 273214 230
Keras is now included as part of TensorFlow! 0 273214 536
Adding a densely-connected classifier on top of the convolutional base produces crazy results 6 30904 817
Figure 5.12 0 273214 198
Figures 5.15 and 5.16 1 100030 314
Comment in Section 1.2.5 0 481306 188
Flatten layer 1 357482 417
typo 2.3.2 0 479823 265
listing 2.8 Training the network 0 185035 219
font size code 0 Sven Meyer 200
Multi-label classification example 1 Joey 428
schedule for publishing next chapters 1 Vaibhav Aparimit 332
Typo 5.2.4 0 Benjamin Devèze 241
Errors in drop out code 0 Benjamin Devèze 223