interactiveaudiolab / course-deep-learning Goto Github PK
View Code? Open in Web Editor NEWTeaching materials for the deep learning course.
Teaching materials for the deep learning course.
There's a lot of great info in here. I did some mild (very mild) reorganization. The main thing I see is that it might cover too many topics in one notebook and we may want to split this up into 2 notebooks. I'm thinking about how we want to do this....I can imagine putting everything after the first test/train loop (section 4) into a 2nd notebook that contains GPU, logging, and data augmentation.
Also that main training loop gets repeated multiple times in different cells. I feel like there should be some way of declaring it a single time and then calling it repeatedly...
Another issue is that the Tensorboard logger didn't display anything for me. Maybe I did something wrong. Not sure.
Also, I feel like we introduce an optimizer (SGD) but don't really talk about it and other elements (e.g loss functions) were explicitly talked about.
OK. Those were my reactions. Now we have stuff to discuss!
Cloning into 'course-deep-learning'...
remote: Support for password authentication was removed on August 13, 2021. Please use a personal access token instead.
remote: Please see https://github.blog/2020-12-15-token-authentication-requirements-for-git-operations/ for more information.
fatal: Authentication failed for 'https://USERNAME:[email protected]/interactiveaudiolab/course-deep-learning.git/'
[Errno 2] No such file or directory: 'course-deep-learning/'
/content
ERROR: Could not open requirements file: [Errno 2] No such file or directory: 'requirements.txt'
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.