Topic Answers Author Views
Errata in Deep Learning with Python 50 Susan Harkins 1754
Word-Level One-hot encoding 0 index? 0 541431 13
Listing 3.27 - code to make K fold validation shorter and more readable 8 Andrey C. 76
Chapters 2 & 3 notes 9 timi 1314
Errata? Listing 3.32 Training the final model - most probably wrong batch_size 0 Andrey C. 22
reverse_word_index - shorter version 1 Andrey C. 39
Difference b/w predict and evaluate 3 535475 47
2D ConvNet Image Processing Questions 2 535475 55
Getting an error while importing imdb dataset 6 Shuyib 396
Example 5.1 not learning 1 tinman 453
Listing 2.6 gives Invalid dimensions for image data 0 julio 52
Easy environment setup for running code samples in the book 1 540476 107
Chapter 7: Advanced Deep Learning Best Practices 0 Shuyib 53
2.4.2 gradient(f)(W0), curvature interpretion 0 527106 53
typo Listing 3.20 0 WeiHua 52
Feature Extraction and Data Augmentation 0 523417 43
Elaboration on difference between ML and statistics 0 536632 90
Figure 1.2 - A new programming paradigm 1 pietz 305
The font size of the code listings in the Epub version is too small and doesn't change 1 305903 194
History in Jupyter notebook 3.5-classifying-movie-reviews 0 534139 71
Using OS X/BSD Linux with EC2 to do book examples 1 milind1944 141
Section 3.5.7, Listing 3.50 1 JWG 227
Listing 2.4: divide by 255 or 256? 4 dcer 195
Listing 6.40: why is shuffle set to True? 1 453132 183
Missing paragraphs in 6 Deep learning for text and sequences(v6) 0 Shuyib 157
Fixed Code Listings 8 58690 794
Correction Listing 3.22/3.23 0 tinman 146
Question about the 7x7 window in 5.1.2 1 graki 233
Grammar 1 361604 282
Where's the appendix to install? 1 mythicalprogrammer 387
Section 6.1.2 Word Embeddings 0 JWG 202
Section 6.1 page 167: Set vs Multiset 0 JWG 120
Figure 4.7 Effect of L2 weight regularization on validation loss 0 JWG 156
Some fixes for V6 10 Grigory Sapunov 407
Questions about 3.5.6 0 509939 157
Distributed Training for large dataset 4 203561 485
Listing 2.7 has wrong statements? 0 305903 169
Chapter 7 (v6) - Listings 7.6, 7.8 1 500454 233
Depthwise separable convolution number of trainable parameters - Fig 7.16 (v6) 1 renschler 217
ModelCheckpoint and EarlyStopping Callback Question - Listing 7.20 (v6) 0 renschler 139
Typo in intro 1 511907 181
Add another figure to Bidirectional RNNs Explanation 6.3.8 (v6) 0 renschler 161
Recurrent Dropout Explanation section 6.3.6 (v6) 0 renschler 162
Two minor comments in sections 1.3.4 and 3.3.1 1 ivenzor 299
2.2.2 Vectors Discussion - Things that are confusing - Rank (v6) 0 renschler 210
Listing 3.40 and Figure 3.10 ylabel mistake (v6) 0 renschler 164
Figure 3.9 title should be "loss" not "accuracy" (v6) 0 renschler 158
Figure 3.8 and Listing 3.23 ylabel mistakes (v6) 0 renschler 193
Figure 2.5 mistake (v6) 0 renschler 163
Misleading labels in description of broadcasting, sec 2.3.2 (MEAP v6) 0 25765 165
Listing 5.31 code error 2 444147 474
Listing 5.9 += os.path.exists() 0 svenproppert 140
Some error in Figure 5.15 and 5.16 2 508012 272
Chapter 3.6 - Why does batch_size change in final model? 0 svenproppert 151
Listing 6.8. Processing the labels of the raw IMDB data 0 244679 188
Early Stopping 0 478941 188
Typo error in chapter 5 0 508012 189
Sourcecode available? 11 256688 1262
Can be explained(relu(x) is simply max(x, 0).) better by adding numbering 0 ironpython 170
section 5.1.1: invariant vs equivariant 0 330772 160
plot 5.27 unable to reproduce the graph 0 mythicalprogrammer 181
Listing 5.20 what's the point of reshaping to (1, 150, 150, 3)? 0 mythicalprogrammer 165
Improve code in listing 2.21 0 504397 183
Reinforcement learning examples 0 Shuyib 204
Chapter 3 Model compiling 0 evohnave 190
SSE4 and AVX TensorFlow Warnings 0 evohnave 311
Google cloud deep learning instances 0 Yaakov Belch 215
Top verses Bottom of a network 0 361604 168
Adding Dropout: layer position in model 0 ythyth 231
Listing 4.9 Dropout Implementation 0 ythyth 194
Listing 7.8. Functional API implementation of a three-output model 0 273214 183
Listing 7.7. Feeding data to a multi-input model 0 273214 170
Keras is now included as part of TensorFlow! 0 273214 399
Adding a densely-connected classifier on top of the convolutional base produces crazy results 6 30904 646
Listing 5.14 0 273214 185
Figure 5.12 0 273214 149
Figures 5.15 and 5.16 1 100030 258
Comment in Section 1.2.5 0 481306 139
Flatten layer 1 357482 326
typo 2.3.2 0 479823 199
listing 2.8 Training the network 0 185035 174
font size code 0 Sven Meyer 152
Multi-label classification example 1 Joey 351
schedule for publishing next chapters 1 Vaibhav Aparimit 254
Typo 5.2.4 0 Benjamin Devèze 185
Errors in drop out code 0 Benjamin Devèze 174
Errors listing 4.1 Hold-out validation 0 Benjamin Devèze 145
Typo chapter 5 1 Michael S. 250
how to explain the param statistic shown in Listing5.4 1 458045 270
AttributeError: 'NpzFile' object has no attribute 'zip' 3 456712 902
Running docker 4 4959 403
Section 2.4 1 55968 362
Listing 2.33 A naive implementation of matrix-vector dot 2 468838 295
nb_epoch renamed to epochs 0 hettlage 320
Image Segmentation 1 345675 302
Section 4.5.1 (Regularisation) 0 465682 244
boston_housing is not part of keras datasets 1 favetelinguis 642
Matrix multiplication errors in Chapter 2 0 d-man 291
Listings 2.25/26 (etc.?): Naive implementations are destructive 0 noodlefrenzy 405
Shape of tweet encoding 0 hettlage 358