deep-learning-resources
github.com/datascienceid/deep-learning-resources ↗A curated list of deep learning resources books, courses, papers, libraries, conferences, sample code, and many more.
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me conferences resources from deep-learning-resources"
Installation instructions →What's inside
Conferences
- AAMAS - International Joint Conference on Autonomous Agents and Multiagent Systems
International Joint Conference on Autonomous Agents and Multiagent Systems
- CVPR - IEEE Conference on Computer Vision and Pattern Recognition
IEEE Conference on Computer Vision and Pattern Recognition
- ICLR - International Conference on Learning Representations
International Conference on Learning Representations
- IJCAI - International Joint Conference on Artificial Intelligence
International Joint Conference on Artificial Intelligence
- NIPS - Neural Information Processing Systems
Neural Information Processing Systems
Tutorials
- A Beginner’s Guide to Recurrent Networks and LSTMs
- A Guide to Deep Learning in PyTorch
- An Intuitive Explanation of Convolutional Neural Networks
- A Quick Introduction to Neural Networks
- How to Implement the Backpropagation Algorithm From Scratch In Python
- image classifier using convolutional neural network
Courses
Libraries
- Caffe
- Keras - A high-level neural networks API running on top of TensorFlow, CNTK, or Theano
A high-level neural networks API running on top of TensorFlow, CNTK, or Theano
- MXnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning framework
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning framework
- Tensorflow
- TensorFlow.js - formerly known as deeplearn.js
formerly known as deeplearn.js
- Theano
Free Books
Videos and Lectures
Showing a sample of 54 resources. View the full list on GitHub →