Topic Answers Author Views
Errata in Deep Learning with Python 76 Susan Harkins 4358
Problem with reading and labeling the IMDB dataset manually 0 566762 11
Keras freezing 2 ptah 62
Errata? Listing 3.32 Training the final model - most probably wrong batch_size 1 Andrey C. 183
Listing 5.21 - Unable to reproduce results 12 Jim T 460
One-Hot Encode vs Multi-Hot Encode 0 Jool 35
Section 6.1 page 167: Set vs Multiset 1 JWG 206
Where's the appendix to install? 2 mythicalprogrammer 547
Word-Level One-hot encoding 0 index? 1 541431 169
Pretrained convnet example in section 5.3.1 is flawed 0 Jim Marshall 48
Explain the instructions order / sequencing in Data Normalization - Listings 3.25 and 6.32 0 Claude COULOMBE 49
Listing 5.8 Dogs vs Cats 3 562947 81
Ubuntu 18.04 LTS 1 ptah 73
Example 5.1 not learning 2 tinman 628
How to choose the word embeddings dimension? 0 Claude COULOMBE 41
first time evaluate is called it returns empty list 0 john.watson@gmail.com 80
Figure 5.4, seems like dimensions are wrong 0 kpierce8 81
Please express our thanks to Fran├žois Chollet for his awesome book! 0 Claude COULOMBE 79
Listing 3.27 - code to make K fold validation shorter and more readable 9 Andrey C. 385
2.4.2 gradient(f)(W0), curvature interpretion 1 527106 189
Does author even reply to questions? 1 Joey 189
Hardware requirements to run the examples and exercises comfortably 1 551074 119
Questions about 3.5.6 1 509939 274
an idea of the random classifer 0 Immorwave 81
Incomplete example chapter 6.3 0 558016 86
5.4.2 Visualizing convnet filters / code without using Keras backend? 0 554754 205
Listing 5.14 1 273214 319
Unable to install Keras (moduleNotFoundError: No module named 'keras' ) 0 551074 318
Further experiments in 3.5-classifying-movie-reviews.ipynb 2 Cesar Verdes 212
No source code for Chapter 7? 1 548294 208
Datasets with image and text 0 541431 153
Chapters 2 & 3 notes 8 timi 1621
reverse_word_index - shorter version 1 Andrey C. 190
Difference b/w predict and evaluate 3 535475 244
2D ConvNet Image Processing Questions 2 535475 258
Getting an error while importing imdb dataset 6 Shuyib 642
Listing 2.6 gives Invalid dimensions for image data 0 julio 235
Easy environment setup for running code samples in the book 1 540476 302
Chapter 7: Advanced Deep Learning Best Practices 0 Shuyib 188
typo Listing 3.20 0 WeiHua 131
Feature Extraction and Data Augmentation 0 523417 157
Elaboration on difference between ML and statistics 0 536632 195
Figure 1.2 - A new programming paradigm 1 pietz 416
The font size of the code listings in the Epub version is too small and doesn't change 1 305903 305
History in Jupyter notebook 3.5-classifying-movie-reviews 0 534139 169
Using OS X/BSD Linux with EC2 to do book examples 1 milind1944 259
Section 3.5.7, Listing 3.50 1 JWG 321
Listing 2.4: divide by 255 or 256? 4 dcer 355
Listing 6.40: why is shuffle set to True? 1 453132 306
Missing paragraphs in 6 Deep learning for text and sequences(v6) 0 Shuyib 236
Fixed Code Listings 8 58690 980
Correction Listing 3.22/3.23 0 tinman 291
Question about the 7x7 window in 5.1.2 1 graki 322
Grammar 1 361604 364
Section 6.1.2 Word Embeddings 0 JWG 292
Figure 4.7 Effect of L2 weight regularization on validation loss 0 JWG 233
Some fixes for V6 10 Grigory Sapunov 610
Distributed Training for large dataset 4 203561 605
Listing 2.7 has wrong statements? 0 305903 252
Chapter 7 (v6) - Listings 7.6, 7.8 1 500454 368
Depthwise separable convolution number of trainable parameters - Fig 7.16 (v6) 1 renschler 359
ModelCheckpoint and EarlyStopping Callback Question - Listing 7.20 (v6) 0 renschler 218
Typo in intro 1 511907 271
Add another figure to Bidirectional RNNs Explanation 6.3.8 (v6) 0 renschler 237
Recurrent Dropout Explanation section 6.3.6 (v6) 0 renschler 238
Two minor comments in sections 1.3.4 and 3.3.1 1 ivenzor 412
2.2.2 Vectors Discussion - Things that are confusing - Rank (v6) 0 renschler 313
Listing 3.40 and Figure 3.10 ylabel mistake (v6) 0 renschler 263
Figure 3.9 title should be "loss" not "accuracy" (v6) 0 renschler 250
Figure 3.8 and Listing 3.23 ylabel mistakes (v6) 0 renschler 287
Figure 2.5 mistake (v6) 0 renschler 247
Misleading labels in description of broadcasting, sec 2.3.2 (MEAP v6) 0 25765 249
Listing 5.31 code error 2 444147 649
Listing 5.9 += os.path.exists() 0 svenproppert 230
Some error in Figure 5.15 and 5.16 2 508012 345
Chapter 3.6 - Why does batch_size change in final model? 0 svenproppert 220
Listing 6.8. Processing the labels of the raw IMDB data 0 244679 314
Early Stopping 0 478941 274
Typo error in chapter 5 0 508012 282
Sourcecode available? 11 256688 1484
Can be explained(relu(x) is simply max(x, 0).) better by adding numbering 0 ironpython 257
section 5.1.1: invariant vs equivariant 0 330772 253
plot 5.27 unable to reproduce the graph 0 mythicalprogrammer 272
Listing 5.20 what's the point of reshaping to (1, 150, 150, 3)? 0 mythicalprogrammer 305
Improve code in listing 2.21 0 504397 262
Reinforcement learning examples 0 Shuyib 313
Chapter 3 Model compiling 0 evohnave 258
SSE4 and AVX TensorFlow Warnings 0 evohnave 468
Google cloud deep learning instances 0 Yaakov Belch 325
Top verses Bottom of a network 0 361604 234
Adding Dropout: layer position in model 0 ythyth 327
Listing 4.9 Dropout Implementation 0 ythyth 280
Listing 7.8. Functional API implementation of a three-output model 0 273214 260
Listing 7.7. Feeding data to a multi-input model 0 273214 256
Keras is now included as part of TensorFlow! 0 273214 574
Adding a densely-connected classifier on top of the convolutional base produces crazy results 6 30904 894
Figure 5.12 0 273214 224
Figures 5.15 and 5.16 1 100030 333
Comment in Section 1.2.5 0 481306 208
Flatten layer 1 357482 450