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Topic Answers Author Views
Errata in Grokking Deep Learning 2 Susan Harkins 196
Chapter 12, Page 225, hidden_delta 1 461066 27
Wrong referenced variable? 1 470512 212
Page 86 in the PDF. Code is wrong. 1 627224 89
Chapter 8 - Batch Gradient Decent - Example Code Question 1 627201 60
No non-linearity in the RNN in Chapter 12 0 627201 75
Chapter 12 - softmax function 0 627201 33
Chapter 11 Code - no sigmoid2deriv in layer_1_delta 1 627201 49
Chapter 9 Code - calculation of layer_2_delta 1 627201 52
Chapter 12, page 220 - mismatch between text description and code 0 627201 39
Chapter 12 - Mistmatch between book description and code 0 627201 33
Code for Chapter 12 will not run in provided notebook 0 627201 37
Chapter 9 , page 154, Meap 12 - The last paragraph is not completed/broken 0 627201 34
When will the pBook arrived? 2 598662 190
toes - a pure distraction 0 timmi4sa 97
Some issues I found with the book 1 447276 163
Weights sign on the page 122 2 615591 261
Calculating Error and Delta Updated 0 587968 76
6.19 Linear vs Non-Linear 0 619771 131
Incorrect Layer 2 Delta Calculation in Chapter 6 0 230116 126
Oh, I miss the RL part 3 chunsj 343
Section 5.2 - Gradient Descent with Multiple Inputs Explained MEAP v12: Error in delta calculation 0 589866 246
Some Example Code No Longer Copy-Pastes 0 562524 189
Calculating Error and Delta 0 587968 197
Ping Pong Example 1 592114 304
refund??? or credit for a new MEAP?? 4 130980 601
Predicting Movie Reviews - Code 1 470512 522
Diagrams in One Iteration of Backpropogation (pg. 128-129, MEAP 11) 0 Y.G. Bae 387
Repeated paragraph 0 470512 168
Problem with formatting of version 11? 3 8495 467
Gradient Descent with Multiple Inputs & Outputs (pg 92-93, MEAP 11) 0 Y.G. Bae 242
Example in Gradient Descent Learning with Multiple Outputs (pgs. 90-91, MEAP 11) 0 Y.G. Bae 297
COMPARE + LEARN (pg. 53 of MEAP 11) 0 Y.G. Bae 250
minor mistake in numpy code comment (pg. 46 of MEAP 11) 0 Y.G. Bae 223
vect_mat_mul function (pg.39 of MEAP 11) 0 Y.G. Bae 198
MEAP 11 pdf issue 0 386460 302
Too little math when it could really helpful 0 chunsj 272
Is this book still gonna be completed? 2 vs.souza 957
Avoid using "input" as a variable name 0 Ed Harcourt 255
page 17 1 422653 667
Bias 0 524761 350
Remaining 5 chapters are coming in the next couple of months. 1 Quazi-Irfan 1026
it's almost 5 month after latest release? 13 464693 1315
Chapter 6: manual prediction 0 361604 269
Incorrect Variable in Version 10 (Page 37) 0 404728 398
Incorrect Code in w_sum Version 10 (Page 34) 0 404728 272
Where can I find the datasets for 11th chapter? 0 422819 635
Question about Chapter 11 page 192 "Filling in The Blank" 0 548933 375
next chapter an estimated end date 1 524761 857
gloabl in first code example 4 388033 830
I do not see Mobi and epub formats??? 17 ssharma 2016
Super book 0 270391 560
vect_mat_mul and other problems with chapter 3 code 4 Ludwik Trammer 928
Chapter 11 is excellent 5 Ravi Annaswamy 1124
layer_2_delta calculation on page 174 0 533674 464
Ch5. - Gradient Descent with multiple inputs - about weight_delta 1 memical 513
MNIST data loading 6 423076 1363
Minor Issue 0 466774 415
On page 147, how can we load data "images" 2 461066 582
imdb database 0 422653 406
The book on Deep Leaning that I've been waiting for 0 227011 730
Hoping to learn Convolutional Neural Networks 1 e19293001 685
I think the code on page 192 (filling in the blanks) has a minor bug 0 Ravi Annaswamy 457
Will part cover LSTM in depth 2 505575 932
blank pages? 17 447276 1461
Question: How to calculate error for hidden layers 1 422904 577
Jupyter Introduction 4 448383 938
parametric and non-parametric definitions 0 opyate 416
Typo for neuron on page 50 0 422904 476
Calculation error on page 59 0 422904 453
Typo on page 13 0 Lucas Young 436
when will this book be completed? 6 vibhor 1437
typo in code page 86 0 297104 496
Chapter 6 - number of nodes in the second level 0 480918 474
Chaper 6 - Linking Our Variables 0 Guilherme A. Silveira 477
Chapter 3 - Error in Page 31 "Perform a Weighted Sum of Inputs" 0 Guilherme A. Silveira 535
Abrupt ending to Chapter 2 8 ctoomey 1391
Page 38-39 1 361604 476
Page 80 - Typo 2 Mauricio Rey 565
Multiple Inputs/Multiple Outputs: Learning (~pg. 92) 1 diegonc 837
MEAP Update version 8 PDF Missing chapter 10 1 313546 738
Formats 0 118996 401
Typo on page 33 0 501126 435
Small mistake in Chapter 3 code 7 448325 1433
Chapter 4 - page 50 1 Frank Hinek 581
Page 46 Comments 1 Andrew Betts 494
Chapter 3: What is a Neural Network (first Jupyter example) 0 Troy DeJongh 537
Page 35 0 363829 485
Baseball analogies 6 28527 957
input data points p. 22-23 0 375745 491
Missing Notebook or Code on page 94? 7 Rich E 1310
Page 39 - vect_mat_mul 1 189391 697
pg 106, both numpy arrays missing leading bracket 0 231403 717
Error not necessarily converging to 0 for streetlight example 0 hettlage 772
Typo v6 p.66 0 ak 514
Chapter 3 page 32 2 diegonc 665
Small bug in code on p. 72 0 hettlage 481
Real world level image recognition 3 blackflicker 1036
On page 7 the quote has Eric Schmidt (Google CEO) 0 331117 591
Please add some quotes by women to the beginning of your chapters 0 331117 556