Topic Answers Author Views
Errata in Deep Learning with Python 86 Susan Harkins 5160
Listing 5.39 / numpy zeros defaults to float64 0 554754 22
Good news! Companion Notebooks for Chapter 7... 0 Claude COULOMBE 37
No source code for Chapter 7? 3 548294 257
Feature Extraction and Data Augmentation 1 523417 192
Multiclass classification example / improved baseline (3.5.4, p. 82) 0 554754 35
Problem with reading and labeling the IMDB dataset manually 0 566762 55
Keras freezing 2 ptah 135
Errata? Listing 3.32 Training the final model - most probably wrong batch_size 1 Andrey C. 214
Listing 5.21 - Unable to reproduce results 12 Jim T 591
One-Hot Encode vs Multi-Hot Encode 0 Jool 94
Section 6.1 page 167: Set vs Multiset 1 JWG 245
Where's the appendix to install? 2 mythicalprogrammer 602
Word-Level One-hot encoding 0 index? 1 541431 219
Pretrained convnet example in section 5.3.1 is flawed 0 Jim Marshall 95
Explain the instructions order / sequencing in Data Normalization - Listings 3.25 and 6.32 0 Claude COULOMBE 77
Listing 5.8 Dogs vs Cats 3 562947 111
Ubuntu 18.04 LTS 1 ptah 131
Example 5.1 not learning 2 tinman 675
How to choose the word embeddings dimension? 0 Claude COULOMBE 68
first time evaluate is called it returns empty list 0 john.watson@gmail.com 126
Figure 5.4, seems like dimensions are wrong 0 kpierce8 116
Please express our thanks to Fran├žois Chollet for his awesome book! 0 Claude COULOMBE 119
Listing 3.27 - code to make K fold validation shorter and more readable 9 Andrey C. 431
2.4.2 gradient(f)(W0), curvature interpretion 1 527106 232
Does author even reply to questions? 1 Joey 252
Hardware requirements to run the examples and exercises comfortably 1 551074 160
Questions about 3.5.6 1 509939 302
an idea of the random classifer 0 Immorwave 119
Incomplete example chapter 6.3 0 558016 118
5.4.2 Visualizing convnet filters / code without using Keras backend? 0 554754 253
Listing 5.14 1 273214 359
Unable to install Keras (moduleNotFoundError: No module named 'keras' ) 0 551074 460
Further experiments in 3.5-classifying-movie-reviews.ipynb 2 Cesar Verdes 260
Datasets with image and text 0 541431 177
Chapters 2 & 3 notes 8 timi 1674
reverse_word_index - shorter version 1 Andrey C. 213
Difference b/w predict and evaluate 3 535475 278
2D ConvNet Image Processing Questions 2 535475 280
Getting an error while importing imdb dataset 6 Shuyib 705
Listing 2.6 gives Invalid dimensions for image data 0 julio 302
Easy environment setup for running code samples in the book 1 540476 347
Chapter 7: Advanced Deep Learning Best Practices 0 Shuyib 212
typo Listing 3.20 0 WeiHua 162
Elaboration on difference between ML and statistics 0 536632 212
Figure 1.2 - A new programming paradigm 1 pietz 435
The font size of the code listings in the Epub version is too small and doesn't change 1 305903 329
History in Jupyter notebook 3.5-classifying-movie-reviews 0 534139 197
Using OS X/BSD Linux with EC2 to do book examples 1 milind1944 276
Section 3.5.7, Listing 3.50 1 JWG 344
Listing 2.4: divide by 255 or 256? 4 dcer 389
Listing 6.40: why is shuffle set to True? 1 453132 329
Missing paragraphs in 6 Deep learning for text and sequences(v6) 0 Shuyib 262
Fixed Code Listings 8 58690 1022
Correction Listing 3.22/3.23 0 tinman 322
Question about the 7x7 window in 5.1.2 1 graki 346
Grammar 1 361604 381
Section 6.1.2 Word Embeddings 0 JWG 317
Figure 4.7 Effect of L2 weight regularization on validation loss 0 JWG 247
Some fixes for V6 10 Grigory Sapunov 650
Distributed Training for large dataset 4 203561 634
Listing 2.7 has wrong statements? 0 305903 270
Chapter 7 (v6) - Listings 7.6, 7.8 1 500454 412
Depthwise separable convolution number of trainable parameters - Fig 7.16 (v6) 1 renschler 395
ModelCheckpoint and EarlyStopping Callback Question - Listing 7.20 (v6) 0 renschler 239
Typo in intro 1 511907 292
Add another figure to Bidirectional RNNs Explanation 6.3.8 (v6) 0 renschler 259
Recurrent Dropout Explanation section 6.3.6 (v6) 0 renschler 262
Two minor comments in sections 1.3.4 and 3.3.1 1 ivenzor 428
2.2.2 Vectors Discussion - Things that are confusing - Rank (v6) 0 renschler 343
Listing 3.40 and Figure 3.10 ylabel mistake (v6) 0 renschler 293
Figure 3.9 title should be "loss" not "accuracy" (v6) 0 renschler 275
Figure 3.8 and Listing 3.23 ylabel mistakes (v6) 0 renschler 310
Figure 2.5 mistake (v6) 0 renschler 275
Misleading labels in description of broadcasting, sec 2.3.2 (MEAP v6) 0 25765 270
Listing 5.31 code error 2 444147 676
Listing 5.9 += os.path.exists() 0 svenproppert 251
Some error in Figure 5.15 and 5.16 2 508012 370
Chapter 3.6 - Why does batch_size change in final model? 0 svenproppert 235
Listing 6.8. Processing the labels of the raw IMDB data 0 244679 345
Early Stopping 0 478941 290
Typo error in chapter 5 0 508012 298
Sourcecode available? 11 256688 1545
Can be explained(relu(x) is simply max(x, 0).) better by adding numbering 0 ironpython 275
section 5.1.1: invariant vs equivariant 0 330772 276
plot 5.27 unable to reproduce the graph 0 mythicalprogrammer 293
Listing 5.20 what's the point of reshaping to (1, 150, 150, 3)? 0 mythicalprogrammer 339
Improve code in listing 2.21 0 504397 283
Reinforcement learning examples 0 Shuyib 331
Chapter 3 Model compiling 0 evohnave 287
SSE4 and AVX TensorFlow Warnings 0 evohnave 512
Google cloud deep learning instances 0 Yaakov Belch 345
Top verses Bottom of a network 0 361604 256
Adding Dropout: layer position in model 0 ythyth 352
Listing 4.9 Dropout Implementation 0 ythyth 309
Listing 7.8. Functional API implementation of a three-output model 0 273214 278
Listing 7.7. Feeding data to a multi-input model 0 273214 284
Keras is now included as part of TensorFlow! 0 273214 611
Adding a densely-connected classifier on top of the convolutional base produces crazy results 6 30904 962
Figure 5.12 0 273214 243