T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Explore deep learning techniques through course materials from a university class on neural networks.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeT81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
t81_558_deep_learning has 5.7k stars on GitHub. It has been forked 3k times. t81_558_deep_learning is written mainly in Jupyter Notebook. It has been in active development since 2016. Its main topics are convolutional-neural-networks, deeplearning, gan, keras.
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
t81_558_deep_learning is an open-source project.
Yes. t81_558_deep_learning is free and open source — you can use, modify and self-host it.
t81_558_deep_learning is written mainly in Jupyter Notebook.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/jeffheaton-t81-558-deep-learning.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.