Topic Answers Author Views
Errata in Deep Learning with Python 27 Susan Harkins 933
2.4.2 gradient(f)(W0), curvature interpretion 0 527106 5
Easy environment setup for running code samples in the book 0 540476 25
typo Listing 3.20 0 WeiHua 21
Feature Extraction and Data Augmentation 0 523417 16
Elaboration on difference between ML and statistics 0 536632 55
Figure 1.2 - A new programming paradigm 1 pietz 262
The font size of the code listings in the Epub version is too small and doesn't change 1 305903 159
History in Jupyter notebook 3.5-classifying-movie-reviews 0 534139 40
Using OS X/BSD Linux with EC2 to do book examples 1 milind1944 103
Section 3.5.7, Listing 3.50 1 JWG 172
Listing 2.4: divide by 255 or 256? 4 dcer 140
Multi-label classification example 2 Joey 303
Listing 6.40: why is shuffle set to True? 1 453132 147
Chapters 2 & 3 notes 8 timi 1200
Missing paragraphs in 6 Deep learning for text and sequences(v6) 0 Shuyib 132
Fixed Code Listings 8 58690 707
Example 5.1 not learning 0 tinman 392
Correction Listing 3.22/3.23 0 tinman 113
Question about the 7x7 window in 5.1.2 1 graki 203
Grammar 1 361604 261
Where's the appendix to install? 1 mythicalprogrammer 340
Section 6.1.2 Word Embeddings 0 JWG 163
Section 6.1 page 167: Set vs Multiset 0 JWG 94
Figure 4.7 Effect of L2 weight regularization on validation loss 0 JWG 131
Some fixes for V6 10 Grigory Sapunov 320
Questions about 3.5.6 0 509939 133
Distributed Training for large dataset 4 203561 439
Listing 2.7 has wrong statements? 0 305903 141
Chapter 7 (v6) - Listings 7.6, 7.8 1 500454 186
Depthwise separable convolution number of trainable parameters - Fig 7.16 (v6) 1 renschler 168
ModelCheckpoint and EarlyStopping Callback Question - Listing 7.20 (v6) 0 renschler 118
Typo in intro 1 511907 151
Add another figure to Bidirectional RNNs Explanation 6.3.8 (v6) 0 renschler 137
Recurrent Dropout Explanation section 6.3.6 (v6) 0 renschler 138
Two minor comments in sections 1.3.4 and 3.3.1 1 ivenzor 276
2.2.2 Vectors Discussion - Things that are confusing - Rank (v6) 0 renschler 179
Listing 3.40 and Figure 3.10 ylabel mistake (v6) 0 renschler 130
Figure 3.9 title should be "loss" not "accuracy" (v6) 0 renschler 131
Figure 3.8 and Listing 3.23 ylabel mistakes (v6) 0 renschler 165
Figure 2.5 mistake (v6) 0 renschler 136
Misleading labels in description of broadcasting, sec 2.3.2 (MEAP v6) 0 25765 141
Listing 5.31 code error 2 444147 425
Listing 5.9 += os.path.exists() 0 svenproppert 124
Some error in Figure 5.15 and 5.16 2 508012 237
Chapter 3.6 - Why does batch_size change in final model? 0 svenproppert 131
Getting an error while importing imdb dataset 2 Shuyib 312
Listing 6.8. Processing the labels of the raw IMDB data 0 244679 159
Early Stopping 0 478941 156
Typo error in chapter 5 0 508012 160
Sourcecode available? 11 256688 1197
Can be explained(relu(x) is simply max(x, 0).) better by adding numbering 0 ironpython 146
section 5.1.1: invariant vs equivariant 0 330772 137
plot 5.27 unable to reproduce the graph 0 mythicalprogrammer 148
Listing 5.20 what's the point of reshaping to (1, 150, 150, 3)? 0 mythicalprogrammer 133
Improve code in listing 2.21 0 504397 160
Reinforcement learning examples 0 Shuyib 178
Chapter 3 Model compiling 0 evohnave 166
SSE4 and AVX TensorFlow Warnings 0 evohnave 266
Google cloud deep learning instances 0 Yaakov Belch 190
Top verses Bottom of a network 0 361604 145
Adding Dropout: layer position in model 0 ythyth 209
Listing 4.9 Dropout Implementation 0 ythyth 171
Listing 7.8. Functional API implementation of a three-output model 0 273214 154
Listing 7.7. Feeding data to a multi-input model 0 273214 149
Keras is now included as part of TensorFlow! 0 273214 346
Adding a densely-connected classifier on top of the convolutional base produces crazy results 6 30904 583
Listing 5.14 0 273214 157
Figure 5.12 0 273214 125
Figures 5.15 and 5.16 1 100030 222
Comment in Section 1.2.5 0 481306 117
Flatten layer 1 357482 285
typo 2.3.2 0 479823 170
listing 2.8 Training the network 0 185035 149
font size code 0 Sven Meyer 128
schedule for publishing next chapters 1 Vaibhav Aparimit 216
Typo 5.2.4 0 Benjamin Devèze 161
Errors in drop out code 0 Benjamin Devèze 152
Errors listing 4.1 Hold-out validation 0 Benjamin Devèze 130
Typo chapter 5 1 Michael S. 218
how to explain the param statistic shown in Listing5.4 1 458045 240
AttributeError: 'NpzFile' object has no attribute 'zip' 3 456712 812
Running docker 4 4959 352
Section 2.4 1 55968 346
Listing 2.33 A naive implementation of matrix-vector dot 2 468838 268
nb_epoch renamed to epochs 0 hettlage 287
Image Segmentation 1 345675 283
Section 4.5.1 (Regularisation) 0 465682 206
boston_housing is not part of keras datasets 1 favetelinguis 603
Matrix multiplication errors in Chapter 2 0 d-man 260
Listings 2.25/26 (etc.?): Naive implementations are destructive 0 noodlefrenzy 367
Shape of tweet encoding 0 hettlage 329
Incorrect formula 0 Leonard Schellenberg 393
--Deleted-- 0 timi 308