Topic Answers Author Views
Errata in Deep Learning with Python
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104 Susan Harkins 9348
Getting different results from 5.3: Using VGG16 and Feature Extraction 1 608048 95
One-Hot Encode vs Multi-Hot Encode 3 Jool 1738
Listing 6.35 - Error 'tuple' object is not an iterator 1 Ita 163
Network Visualization Packages 0 591281 145
Why the distribution over latent space in VAEs assume a single Gaussian? 0 583507 108
L-BFGS optimization for style transfer 0 583507 82
Listing 5.21 - Unable to reproduce results 16 Jim T 1097
No source code for Chapter 7? 4 548294 550
Listing 5.39 / numpy zeros defaults to float64 1 554754 196
How to load images when using EC2 0 534564 95
Unable to install Keras (moduleNotFoundError: No module named 'keras' ) 4 551074 1747
Deep Learning with Python Jena Example 0 587115 126
How could I load my own image data to be used in CNN using Keras? 0 584108 110
Does author even reply to questions? 2 Joey 514
Good news! Companion Notebooks for Chapter 7... 0 Claude COULOMBE 306
Feature Extraction and Data Augmentation 1 523417 317
Multiclass classification example / improved baseline (3.5.4, p. 82) 0 554754 126
Problem with reading and labeling the IMDB dataset manually 0 566762 185
Keras freezing 2 ptah 308
Errata? Listing 3.32 Training the final model - most probably wrong batch_size 1 Andrey C. 402
Section 6.1 page 167: Set vs Multiset 1 JWG 371
Where's the appendix to install? 2 mythicalprogrammer 816
Word-Level One-hot encoding 0 index? 1 541431 361
Pretrained convnet example in section 5.3.1 is flawed 0 Jim Marshall 219
Explain the instructions order / sequencing in Data Normalization - Listings 3.25 and 6.32 0 Claude COULOMBE 195
Listing 5.8 Dogs vs Cats 3 562947 256
Ubuntu 18.04 LTS 1 ptah 319
Example 5.1 not learning 2 tinman 833
How to choose the word embeddings dimension? 0 Claude COULOMBE 200
first time evaluate is called it returns empty list 0 john.watson@gmail.com 248
Figure 5.4, seems like dimensions are wrong 0 kpierce8 252
Please express our thanks to Fran├žois Chollet for his awesome book! 0 Claude COULOMBE 275
Listing 3.27 - code to make K fold validation shorter and more readable 9 Andrey C. 590
2.4.2 gradient(f)(W0), curvature interpretion 1 527106 357
Hardware requirements to run the examples and exercises comfortably 1 551074 302
Questions about 3.5.6 1 509939 408
an idea of the random classifer 0 Immorwave 207
Incomplete example chapter 6.3 0 558016 237
5.4.2 Visualizing convnet filters / code without using Keras backend? 0 554754 470
Listing 5.14 1 273214 476
Further experiments in 3.5-classifying-movie-reviews.ipynb 2 Cesar Verdes 395
Datasets with image and text 0 541431 312
Chapters 2 & 3 notes 8 timi 1993
reverse_word_index - shorter version 1 Andrey C. 302
Difference b/w predict and evaluate 3 535475 384
2D ConvNet Image Processing Questions 2 535475 388
Getting an error while importing imdb dataset 6 Shuyib 1317
Listing 2.6 gives Invalid dimensions for image data 0 julio 537
Easy environment setup for running code samples in the book 1 540476 530
Chapter 7: Advanced Deep Learning Best Practices 0 Shuyib 323
typo Listing 3.20 0 WeiHua 276
Elaboration on difference between ML and statistics 0 536632 309
Figure 1.2 - A new programming paradigm 1 pietz 554
The font size of the code listings in the Epub version is too small and doesn't change 1 305903 432
History in Jupyter notebook 3.5-classifying-movie-reviews 0 534139 285
Using OS X/BSD Linux with EC2 to do book examples 1 milind1944 397
Section 3.5.7, Listing 3.50 1 JWG 460
Listing 2.4: divide by 255 or 256? 4 dcer 578
Listing 6.40: why is shuffle set to True? 1 453132 465
Missing paragraphs in 6 Deep learning for text and sequences(v6) 0 Shuyib 369
Fixed Code Listings 8 58690 1236
Correction Listing 3.22/3.23 0 tinman 452
Question about the 7x7 window in 5.1.2 1 graki 468
Grammar 1 361604 482
Section 6.1.2 Word Embeddings 0 JWG 447
Figure 4.7 Effect of L2 weight regularization on validation loss 0 JWG 369
Some fixes for V6 10 Grigory Sapunov 890
Distributed Training for large dataset 4 203561 792
Listing 2.7 has wrong statements? 0 305903 359
Chapter 7 (v6) - Listings 7.6, 7.8 1 500454 630
Depthwise separable convolution number of trainable parameters - Fig 7.16 (v6) 1 renschler 555
ModelCheckpoint and EarlyStopping Callback Question - Listing 7.20 (v6) 0 renschler 336
Typo in intro 1 511907 403
Add another figure to Bidirectional RNNs Explanation 6.3.8 (v6) 0 renschler 347
Recurrent Dropout Explanation section 6.3.6 (v6) 0 renschler 344
Two minor comments in sections 1.3.4 and 3.3.1 1 ivenzor 514
2.2.2 Vectors Discussion - Things that are confusing - Rank (v6) 0 renschler 447
Listing 3.40 and Figure 3.10 ylabel mistake (v6) 0 renschler 402
Figure 3.9 title should be "loss" not "accuracy" (v6) 0 renschler 367
Figure 3.8 and Listing 3.23 ylabel mistakes (v6) 0 renschler 418
Figure 2.5 mistake (v6) 0 renschler 387
Misleading labels in description of broadcasting, sec 2.3.2 (MEAP v6) 0 25765 371
Listing 5.31 code error 2 444147 815
Listing 5.9 += os.path.exists() 0 svenproppert 352
Some error in Figure 5.15 and 5.16 2 508012 468
Chapter 3.6 - Why does batch_size change in final model? 0 svenproppert 328
Listing 6.8. Processing the labels of the raw IMDB data 0 244679 515
Early Stopping 0 478941 376
Typo error in chapter 5 0 508012 403
Sourcecode available? 11 256688 1922
Can be explained(relu(x) is simply max(x, 0).) better by adding numbering 0 ironpython 380
section 5.1.1: invariant vs equivariant 0 330772 383
plot 5.27 unable to reproduce the graph 0 mythicalprogrammer 396
Listing 5.20 what's the point of reshaping to (1, 150, 150, 3)? 0 mythicalprogrammer 461
Improve code in listing 2.21 0 504397 380
Reinforcement learning examples 0 Shuyib 443
Chapter 3 Model compiling 0 evohnave 396
SSE4 and AVX TensorFlow Warnings 0 evohnave 691
Google cloud deep learning instances 0 Yaakov Belch 464