Comments (6)
+1, I think for any decent self study we should be able to verify our solutions to exercises.
from d2l-en.
Dear Dr Zhang,
Thanks for reading my message !!!
I am really impressed and thankful to your fantastic book!!!!
I think this book will change my life because I have no access to such valuable resource. This book make me available to really valuable teaching of deep learning and my dream is to use fancy technology to create a popular product of my own. This book gives me hope !
I find the exercise questions quite interesting and with depth, could you please open source the answer for the exercise. It will really boost the growth of more advanced people with AI power, which may create more fancy things! Supervise learning is more efficient !
from d2l-en.
For exercises on the book, probably no.
For assignment in the Berkeley course: https://courses.d2l.ai/berkeley-stat-157/homework.html
Instructors may request all the homework solutions by emailing rlhu at amazon dot com.
from d2l-en.
Thank you for creating this awesome resource! Truly a great gift to learners and the community. I'd really encourage you to make the answer keys available. How else can we verify whether our answers are correct?
from d2l-en.
+1. It would be more perfect if it's done!
from d2l-en.
@astonzhang and the team who made this. Thanks for this amazing book! :)<3
It would be really nice if we people get the theoretical solution of the exercise in the near future if it is possible.
@Mxbonn @2c2c if you guys get any update on this, kindly help me in this regard.
from d2l-en.
Related Issues (20)
- Japanese translation
- Up to date ipynb notebooks and pdf versions HOT 2
- Notebooks are not working on Colab HOT 3
- AttributeError: module 'd2l.torch' has no attribute 'train_ch3' HOT 5
- module 'd2l.torch' has no attribute 'count_corpus' HOT 3
- A question about 4.7.3.3. Label Shift Correction HOT 1
- PyTorch Colab of Chapter 13.5 is having an IndexError HOT 2
- Free copy for the first 100 contributors
- Ethics?
- MLX support HOT 1
- Add type hinting to functions HOT 1
- Incorrect Use of torch.no_grad() in fit_epoch Method in d2l/torch.py::Trainer::fit_epoch HOT 2
- Not able to render :begin_tab:toc
- Errors in train_ch3 in tensorflow version softmax-regression-scratch.ipynb HOT 1
- [**emergency**] the comment block is down, please fix it right now HOT 1
- Chinese version of the code is out of date
- The discussion link can not be accessed. HOT 7
- The mlm loss computation in the function _get_batch_loss_bert seems wrong in d2l pytorch code HOT 2
- Can't build the book on MacOS when trying to add MLX implementation
- Some issues with the book
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 d2l-en.