Topic Answers Author Views
Errata in Deep Learning with Python
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104 Susan Harkins 10129
5.4 using Pretrained Convnent and FineTuning 0 596236 23
Getting different results from 5.3: Using VGG16 and Feature Extraction 1 608048 160
One-Hot Encode vs Multi-Hot Encode 3 Jool 2089
Listing 6.35 - Error 'tuple' object is not an iterator 1 Ita 236
Network Visualization Packages 0 591281 165
Why the distribution over latent space in VAEs assume a single Gaussian? 0 583507 126
L-BFGS optimization for style transfer 0 583507 98
Listing 5.21 - Unable to reproduce results 16 Jim T 1156
No source code for Chapter 7? 4 548294 599
Listing 5.39 / numpy zeros defaults to float64 1 554754 229
How to load images when using EC2 0 534564 115
Unable to install Keras (moduleNotFoundError: No module named 'keras' ) 4 551074 2093
Deep Learning with Python Jena Example 0 587115 150
How could I load my own image data to be used in CNN using Keras? 0 584108 129
Does author even reply to questions? 2 Joey 550
Good news! Companion Notebooks for Chapter 7... 0 Claude COULOMBE 328
Feature Extraction and Data Augmentation 1 523417 337
Multiclass classification example / improved baseline (3.5.4, p. 82) 0 554754 145
Problem with reading and labeling the IMDB dataset manually 0 566762 203
Keras freezing 2 ptah 321
Errata? Listing 3.32 Training the final model - most probably wrong batch_size 1 Andrey C. 420
Section 6.1 page 167: Set vs Multiset 1 JWG 387
Where's the appendix to install? 2 mythicalprogrammer 848
Word-Level One-hot encoding 0 index? 1 541431 380
Pretrained convnet example in section 5.3.1 is flawed 0 Jim Marshall 240
Explain the instructions order / sequencing in Data Normalization - Listings 3.25 and 6.32 0 Claude COULOMBE 218
Listing 5.8 Dogs vs Cats 3 562947 276
Ubuntu 18.04 LTS 1 ptah 344
Example 5.1 not learning 2 tinman 862
How to choose the word embeddings dimension? 0 Claude COULOMBE 221
first time evaluate is called it returns empty list 0 john.watson@gmail.com 269
Figure 5.4, seems like dimensions are wrong 0 kpierce8 272
Please express our thanks to Fran├žois Chollet for his awesome book! 0 Claude COULOMBE 299
Listing 3.27 - code to make K fold validation shorter and more readable 9 Andrey C. 612
2.4.2 gradient(f)(W0), curvature interpretion 1 527106 373
Hardware requirements to run the examples and exercises comfortably 1 551074 318
Questions about 3.5.6 1 509939 436
an idea of the random classifer 0 Immorwave 223
Incomplete example chapter 6.3 0 558016 247
5.4.2 Visualizing convnet filters / code without using Keras backend? 0 554754 496
Listing 5.14 1 273214 493
Further experiments in 3.5-classifying-movie-reviews.ipynb 2 Cesar Verdes 417
Datasets with image and text 0 541431 330
Chapters 2 & 3 notes 8 timi 2056
reverse_word_index - shorter version 1 Andrey C. 314
Difference b/w predict and evaluate 3 535475 405
2D ConvNet Image Processing Questions 2 535475 400
Getting an error while importing imdb dataset 6 Shuyib 1396
Listing 2.6 gives Invalid dimensions for image data 0 julio 571
Easy environment setup for running code samples in the book 1 540476 561
Chapter 7: Advanced Deep Learning Best Practices 0 Shuyib 341
typo Listing 3.20 0 WeiHua 283
Elaboration on difference between ML and statistics 0 536632 328
Figure 1.2 - A new programming paradigm 1 pietz 565
The font size of the code listings in the Epub version is too small and doesn't change 1 305903 443
History in Jupyter notebook 3.5-classifying-movie-reviews 0 534139 306
Using OS X/BSD Linux with EC2 to do book examples 1 milind1944 428
Section 3.5.7, Listing 3.50 1 JWG 470
Listing 2.4: divide by 255 or 256? 4 dcer 600
Listing 6.40: why is shuffle set to True? 1 453132 486
Missing paragraphs in 6 Deep learning for text and sequences(v6) 0 Shuyib 388
Fixed Code Listings 8 58690 1284
Correction Listing 3.22/3.23 0 tinman 479
Question about the 7x7 window in 5.1.2 1 graki 502
Grammar 1 361604 496
Section 6.1.2 Word Embeddings 0 JWG 468
Figure 4.7 Effect of L2 weight regularization on validation loss 0 JWG 379
Some fixes for V6 10 Grigory Sapunov 943
Distributed Training for large dataset 4 203561 817
Listing 2.7 has wrong statements? 0 305903 370
Chapter 7 (v6) - Listings 7.6, 7.8 1 500454 655
Depthwise separable convolution number of trainable parameters - Fig 7.16 (v6) 1 renschler 578
ModelCheckpoint and EarlyStopping Callback Question - Listing 7.20 (v6) 0 renschler 352
Typo in intro 1 511907 429
Add another figure to Bidirectional RNNs Explanation 6.3.8 (v6) 0 renschler 363
Recurrent Dropout Explanation section 6.3.6 (v6) 0 renschler 360
Two minor comments in sections 1.3.4 and 3.3.1 1 ivenzor 528
2.2.2 Vectors Discussion - Things that are confusing - Rank (v6) 0 renschler 463
Listing 3.40 and Figure 3.10 ylabel mistake (v6) 0 renschler 415
Figure 3.9 title should be "loss" not "accuracy" (v6) 0 renschler 381
Figure 3.8 and Listing 3.23 ylabel mistakes (v6) 0 renschler 435
Figure 2.5 mistake (v6) 0 renschler 398
Misleading labels in description of broadcasting, sec 2.3.2 (MEAP v6) 0 25765 385
Listing 5.31 code error 2 444147 846
Listing 5.9 += os.path.exists() 0 svenproppert 369
Some error in Figure 5.15 and 5.16 2 508012 487
Chapter 3.6 - Why does batch_size change in final model? 0 svenproppert 340
Listing 6.8. Processing the labels of the raw IMDB data 0 244679 546
Early Stopping 0 478941 396
Typo error in chapter 5 0 508012 417
Sourcecode available? 11 256688 1996
Can be explained(relu(x) is simply max(x, 0).) better by adding numbering 0 ironpython 390
section 5.1.1: invariant vs equivariant 0 330772 397
plot 5.27 unable to reproduce the graph 0 mythicalprogrammer 412
Listing 5.20 what's the point of reshaping to (1, 150, 150, 3)? 0 mythicalprogrammer 476
Improve code in listing 2.21 0 504397 398
Reinforcement learning examples 0 Shuyib 465
Chapter 3 Model compiling 0 evohnave 415
SSE4 and AVX TensorFlow Warnings 0 evohnave 724