Topic Answers Author Views
Errata in Deep Learning with Python 51 Susan Harkins 1895
Further experiments in 3.5-classifying-movie-reviews.ipynb 0 510950 13
No source code for Chapter 7? 0 548294 11
Datasets with image and text 0 541431 21
Word-Level One-hot encoding 0 index? 0 541431 24
Listing 3.27 - code to make K fold validation shorter and more readable 8 Andrey C. 99
Chapters 2 & 3 notes 9 timi 1341
Errata? Listing 3.32 Training the final model - most probably wrong batch_size 0 Andrey C. 34
reverse_word_index - shorter version 1 Andrey C. 48
Difference b/w predict and evaluate 3 535475 70
2D ConvNet Image Processing Questions 2 535475 76
Getting an error while importing imdb dataset 6 Shuyib 409
Example 5.1 not learning 1 tinman 463
Listing 2.6 gives Invalid dimensions for image data 0 julio 66
Easy environment setup for running code samples in the book 1 540476 121
Chapter 7: Advanced Deep Learning Best Practices 0 Shuyib 63
2.4.2 gradient(f)(W0), curvature interpretion 0 527106 62
typo Listing 3.20 0 WeiHua 59
Feature Extraction and Data Augmentation 0 523417 52
Elaboration on difference between ML and statistics 0 536632 97
Figure 1.2 - A new programming paradigm 1 pietz 311
The font size of the code listings in the Epub version is too small and doesn't change 1 305903 203
History in Jupyter notebook 3.5-classifying-movie-reviews 0 534139 82
Using OS X/BSD Linux with EC2 to do book examples 1 milind1944 146
Section 3.5.7, Listing 3.50 1 JWG 235
Listing 2.4: divide by 255 or 256? 4 dcer 204
Listing 6.40: why is shuffle set to True? 1 453132 192
Missing paragraphs in 6 Deep learning for text and sequences(v6) 0 Shuyib 164
Fixed Code Listings 8 58690 814
Correction Listing 3.22/3.23 0 tinman 157
Question about the 7x7 window in 5.1.2 1 graki 242
Grammar 1 361604 288
Where's the appendix to install? 1 mythicalprogrammer 403
Section 6.1.2 Word Embeddings 0 JWG 209
Section 6.1 page 167: Set vs Multiset 0 JWG 131
Figure 4.7 Effect of L2 weight regularization on validation loss 0 JWG 165
Some fixes for V6 10 Grigory Sapunov 434
Questions about 3.5.6 0 509939 163
Distributed Training for large dataset 4 203561 498
Listing 2.7 has wrong statements? 0 305903 174
Chapter 7 (v6) - Listings 7.6, 7.8 1 500454 248
Depthwise separable convolution number of trainable parameters - Fig 7.16 (v6) 1 renschler 228
ModelCheckpoint and EarlyStopping Callback Question - Listing 7.20 (v6) 0 renschler 147
Typo in intro 1 511907 188
Add another figure to Bidirectional RNNs Explanation 6.3.8 (v6) 0 renschler 168
Recurrent Dropout Explanation section 6.3.6 (v6) 0 renschler 167
Two minor comments in sections 1.3.4 and 3.3.1 1 ivenzor 310
2.2.2 Vectors Discussion - Things that are confusing - Rank (v6) 0 renschler 218
Listing 3.40 and Figure 3.10 ylabel mistake (v6) 0 renschler 176
Figure 3.9 title should be "loss" not "accuracy" (v6) 0 renschler 165
Figure 3.8 and Listing 3.23 ylabel mistakes (v6) 0 renschler 202
Figure 2.5 mistake (v6) 0 renschler 170
Misleading labels in description of broadcasting, sec 2.3.2 (MEAP v6) 0 25765 172
Listing 5.31 code error 2 444147 489
Listing 5.9 += os.path.exists() 0 svenproppert 146
Some error in Figure 5.15 and 5.16 2 508012 283
Chapter 3.6 - Why does batch_size change in final model? 0 svenproppert 158
Listing 6.8. Processing the labels of the raw IMDB data 0 244679 201
Early Stopping 0 478941 198
Typo error in chapter 5 0 508012 198
Sourcecode available? 11 256688 1277
Can be explained(relu(x) is simply max(x, 0).) better by adding numbering 0 ironpython 184
section 5.1.1: invariant vs equivariant 0 330772 168
plot 5.27 unable to reproduce the graph 0 mythicalprogrammer 190
Listing 5.20 what's the point of reshaping to (1, 150, 150, 3)? 0 mythicalprogrammer 176
Improve code in listing 2.21 0 504397 190
Reinforcement learning examples 0 Shuyib 217
Chapter 3 Model compiling 0 evohnave 199
SSE4 and AVX TensorFlow Warnings 0 evohnave 324
Google cloud deep learning instances 0 Yaakov Belch 222
Top verses Bottom of a network 0 361604 171
Adding Dropout: layer position in model 0 ythyth 237
Listing 4.9 Dropout Implementation 0 ythyth 203
Listing 7.8. Functional API implementation of a three-output model 0 273214 195
Listing 7.7. Feeding data to a multi-input model 0 273214 177
Keras is now included as part of TensorFlow! 0 273214 416
Adding a densely-connected classifier on top of the convolutional base produces crazy results 6 30904 671
Listing 5.14 0 273214 200
Figure 5.12 0 273214 156
Figures 5.15 and 5.16 1 100030 273
Comment in Section 1.2.5 0 481306 144
Flatten layer 1 357482 337
typo 2.3.2 0 479823 208
listing 2.8 Training the network 0 185035 182
font size code 0 Sven Meyer 160
Multi-label classification example 1 Joey 362
schedule for publishing next chapters 1 Vaibhav Aparimit 260
Typo 5.2.4 0 Benjamin Devèze 191
Errors in drop out code 0 Benjamin Devèze 180
Errors listing 4.1 Hold-out validation 0 Benjamin Devèze 150
Typo chapter 5 1 Michael S. 262
how to explain the param statistic shown in Listing5.4 1 458045 277
AttributeError: 'NpzFile' object has no attribute 'zip' 3 456712 924
Running docker 4 4959 409
Section 2.4 1 55968 370
Listing 2.33 A naive implementation of matrix-vector dot 2 468838 305
nb_epoch renamed to epochs 0 hettlage 328
Image Segmentation 1 345675 312
Section 4.5.1 (Regularisation) 0 465682 252
boston_housing is not part of keras datasets 1 favetelinguis 651