Topic Answers Author Views
Errata in Deep Learning with R 14 Susan Harkins 1055
build_model() in k-fold example 1 Oliver 10
set pecific GPU as default device 0 Oliver 3
Number of Gradient Updates 1 530123 45
Generalization of generators to other datasets and plotting issues (section 6.3) 1 553036 168
Why do I get such low accuracy on a image classification task? 0 569182 68
Error Listings 7.1 & 7.2 (due to CPU/GPU?) 4 531929 399
Slow performance Geforce 1080 Ti vs laptop's GTX960M 3 biodan 156
steps_per_epoch error in section 3.4.4 6 315448 191
Can't even load imdb data set... 2 558694 134
Setting GPU as default execution device? 5 553084 186
Model training: Subscripts out of bounds when shuffle = T (6.3) 0 553036 131
R Keras: Length of predict_generator() is twice the val_steps? 0 553036 115
segfault in R studio training cats and dogs convnet from scratch 0 bjack913 102
Free eBook with pBook? 2 bjack913 190
R notebook section numbers do not match numbers in printed book 1 bjack913 119
Error loading imdb dataset 2 549957 295
misleading title in Github repo 1 277944 126
Memory usage in R 1 bjack913 113
Clarification on Section 5.1.2 (Max Pooling) 0 540598 157
Please check R/Keras codes in sections 5.3.2 and 5.3.3 3 537224 247
R code error for naive_relu and naive_add functions 4 537690 191
k-fold sample ordered or unordered 1 534742 155
Appendix B: Some tweaks to setting up Deep Learning in AWS EC2 7 508635 580
Error in pad_sequences(sequences, maxlen = maxlen) 2 531586 202
Jena weather dataset – only numerical features! :( 0 532793 147
Fixed "steps_per_epoch = 500" in part 6.3 0 532793 141
test_gen() - Listing 6.34 - is OK? 2 532793 183
p.236 missing figure 7.9 and Footnote 20 is empty! 1 532793 170
Sequence masking and stateful LSTM 0 532793 230
Thank you! 0 532793 235
Multiple assignment operator %<-% 2 532793 251
Getting version of installed Keras/Tensorflow from R environment 1 532793 256
Attention mecanism 1 531678 177
Inconsistent lookback period in demo section 6.3 1 532793 168
Off by one error, Section 3.5.2 3 nina.zumel 188
last 20 words in every review? 3 vojko 314
necessary data structure for history <- model %>% fit(...) 2 528039 350
array_reshape() 5 528039 386
autoencoders 1 418106 262