Comments (2)
Bering
commented on July 29, 2024
I also struggled with that part. But if you look at the batching in the next chapter (on github), you'll see it's done differently. Only the correct_cnt calculation is in the loop:
for k in range(batch_size):
correct_cnt += int(np.argmax(layer_2[k:k+1]) == np.argmax(labels[batch_start+k:batch_start+k+1]))
layer_2_delta = (labels[batch_start:batch_end]-layer_2) / (batch_size * layer_2.shape[0])
layer_1_delta = layer_2_delta.dot(weights_1_2.T) * tanh2deriv(layer_1)
layer_1_delta *= dropout_mask
weights_1_2 += alpha * layer_1.T.dot(layer_2_delta)
weights_0_1 += alpha * layer_0.T.dot(layer_1_delta)
from grokking-deep-learning.
naruto678
commented on July 29, 2024
Thank you for clearing my doubt
from grokking-deep-learning.
Related Issues (20)
- Chapter 8: Batch gradient descent. Wrong alpha value
- chapter 10, is the `for row_start in range(layer_0.shape[1]-kernel_rows)` correct? HOT 1
- NameError in Chapter 4 notebook
- Chapter 13 - I have a problem trying to implement the autograd in a simple linear regresion HOT 1
- what is the size of the dictionary in chapter 14
- Chapter 4 - How is weight_delta computed ? HOT 6
- Ch11 Predicting Movie Reviews - error in back propagation code HOT 9
- License HOT 1
- Missed variable
- lots of mistakes and illogical ordering? is this a pre-script?
- ch 10 kernel weight update typo
- Inactive Activation gradients HOT 1
- Authorization to re-implement in another language HOT 2
- Chapter 6 - Array in array vs use vector HOT 1
- Chapter 6 - layer_1_delta
- Mistake in Ch3. code
- 2nd edition?
- chapter 6
- Chapter 8 examples, why do they all turn label into one_hot_labels HOT 3
- Something wrong with the code in chapter 10
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from grokking-deep-learning.