Topic Answers Author Views
No non-linearity in the RNN in Chapter 12 0 627201 45
Chapter 12 - softmax function 0 627201 16
Chapter 11 Code - no sigmoid2deriv in layer_1_delta 1 627201 26
Chapter 9 Code - calculation of layer_2_delta 1 627201 21
Chapter 12, page 220 - mismatch between text description and code 0 627201 26
Chapter 12 - Mistmatch between book description and code 0 627201 21
Code for Chapter 12 will not run in provided notebook 0 627201 25
Chapter 9 , page 154, Meap 12 - The last paragraph is not completed/broken 0 627201 16
When will the pBook arrived? 2 598662 152
Chapter 8 - Batch Gradient Decent - Example Code Question 0 627201 19
toes - a pure distraction 0 timmi4sa 60
Page 86 in the PDF. Code is wrong. 0 627224 46
Some issues I found with the book 1 447276 119
Weights sign on the page 122 2 615591 238
Calculating Error and Delta Updated 0 587968 66
6.19 Linear vs Non-Linear 0 619771 117
Incorrect Layer 2 Delta Calculation in Chapter 6 0 230116 107
Oh, I miss the RL part 3 chunsj 310
Section 5.2 - Gradient Descent with Multiple Inputs Explained MEAP v12: Error in delta calculation 0 589866 223
Some Example Code No Longer Copy-Pastes 0 562524 176
Calculating Error and Delta 0 587968 177
Ping Pong Example 1 592114 281
refund??? or credit for a new MEAP?? 4 130980 542
Predicting Movie Reviews - Code 1 470512 503
Diagrams in One Iteration of Backpropogation (pg. 128-129, MEAP 11) 0 Y.G. Bae 376
Repeated paragraph 0 470512 153
Wrong referenced variable? 0 470512 168
Problem with formatting of version 11? 3 8495 444
Gradient Descent with Multiple Inputs & Outputs (pg 92-93, MEAP 11) 0 Y.G. Bae 224
Example in Gradient Descent Learning with Multiple Outputs (pgs. 90-91, MEAP 11) 0 Y.G. Bae 284
COMPARE + LEARN (pg. 53 of MEAP 11) 0 Y.G. Bae 234
minor mistake in numpy code comment (pg. 46 of MEAP 11) 0 Y.G. Bae 206
vect_mat_mul function (pg.39 of MEAP 11) 0 Y.G. Bae 188
MEAP 11 pdf issue 0 386460 290
Too little math when it could really helpful 0 chunsj 250
Is this book still gonna be completed? 2 vs.souza 932
Avoid using "input" as a variable name 0 Ed Harcourt 235
page 17 1 422653 640
Bias 0 524761 328
Remaining 5 chapters are coming in the next couple of months. 1 Quazi-Irfan 1005
it's almost 5 month after latest release? 13 464693 1232
Chapter 6: manual prediction 0 361604 247
Incorrect Variable in Version 10 (Page 37) 0 404728 381
Incorrect Code in w_sum Version 10 (Page 34) 0 404728 257
Where can I find the datasets for 11th chapter? 0 422819 613
Question about Chapter 11 page 192 "Filling in The Blank" 0 548933 355
next chapter an estimated end date 1 524761 828
gloabl in first code example 4 388033 796
I do not see Mobi and epub formats??? 17 ssharma 1914
Super book 0 270391 535
vect_mat_mul and other problems with chapter 3 code 4 Ludwik Trammer 894
Chapter 11 is excellent 5 Ravi Annaswamy 1073
layer_2_delta calculation on page 174 0 533674 438
Ch5. - Gradient Descent with multiple inputs - about weight_delta 1 memical 490
MNIST data loading 6 423076 1276
Minor Issue 0 466774 394
On page 147, how can we load data "images" 2 461066 552
imdb database 0 422653 390
The book on Deep Leaning that I've been waiting for 0 227011 710
Hoping to learn Convolutional Neural Networks 1 e19293001 662
I think the code on page 192 (filling in the blanks) has a minor bug 0 Ravi Annaswamy 441
Will part cover LSTM in depth 2 505575 904
blank pages? 17 447276 1384
Question: How to calculate error for hidden layers 1 422904 552
Jupyter Introduction 4 448383 899
parametric and non-parametric definitions 0 opyate 404
Typo for neuron on page 50 0 422904 460
Calculation error on page 59 0 422904 441
Typo on page 13 0 Lucas Young 420
when will this book be completed? 6 vibhor 1390
typo in code page 86 0 297104 475
Chapter 6 - number of nodes in the second level 0 480918 457
Chaper 6 - Linking Our Variables 0 Guilherme A. Silveira 456
Chapter 3 - Error in Page 31 "Perform a Weighted Sum of Inputs" 0 Guilherme A. Silveira 513
Abrupt ending to Chapter 2 8 ctoomey 1353
Page 38-39 1 361604 460
Page 80 - Typo 2 Mauricio Rey 548
Multiple Inputs/Multiple Outputs: Learning (~pg. 92) 1 diegonc 813
MEAP Update version 8 PDF Missing chapter 10 1 313546 714
Formats 0 118996 387
Typo on page 33 0 501126 416
Small mistake in Chapter 3 code 7 448325 1403
Chapter 4 - page 50 1 Frank Hinek 559
Page 46 Comments 1 Andrew Betts 479
Chapter 3: What is a Neural Network (first Jupyter example) 0 Troy DeJongh 518
Page 35 0 363829 468
Baseball analogies 6 28527 904
input data points p. 22-23 0 375745 478
Missing Notebook or Code on page 94? 7 Rich E 1275
Page 39 - vect_mat_mul 1 189391 672
pg 106, both numpy arrays missing leading bracket 0 231403 692
Error not necessarily converging to 0 for streetlight example 0 hettlage 744
Typo v6 p.66 0 ak 499
Chapter 3 page 32 2 diegonc 640
Small bug in code on p. 72 0 hettlage 462
Real world level image recognition 3 blackflicker 1014
On page 7 the quote has Eric Schmidt (Google CEO) 0 331117 570
Please add some quotes by women to the beginning of your chapters 0 331117 530
Ch 2 page 8 - Image 0 461019 456
Typo page 124 chapter 6 0 Ugur Oezdemir 529