Neuromatch Academy: Deep Learning

Technical Help
- Using jupyterbook
  - Using Google Colab
  - Using Kaggle
- Using Discord

The Basics

Basics And Pytorch (W1D1)
- Tutorial 1: PyTorch
Linear Deep Learning (W1D2)
Multi Layer Perceptrons (W1D3)
- Tutorial 1: Biological vs. Artificial Neural Networks
- Tutorial 2: Deep MLPs
Optimization (W1D4)
- Tutorial 1: Optimization techniques
Regularization (W1D5)
- Tutorial 1: Regularization techniques part 1
- Tutorial 2: Regularization techniques part 2
Deep Learning: The Basics Wrap-up

Doing More With Fewer Parameters

Convnets And Recurrent Neural Networks (W2D1)
- Tutorial 1: Introduction to CNNs
- Tutorial 2: Introduction to RNNs
Modern Convnets (W2D2)
- Tutorial 1: Learn how to use modern convnets
- (Bonus) Tutorial 2: Facial recognition using modern convnets
Modern Recurrent Neural Networks (W2D3)
- Tutorial 1: Modeling sequencies and encoding text
- Tutorial 2: Modern RNNs and their variants
Attention And Transformers (W2D4)
- Tutorial 1: Learn how to work with Transformers
Generative Models (W2D5)
Deep Learning: Doing more with fewer parameters Wrap-up

Advanced Topics

Unsupervised And Self Supervised Learning (W3D1)
- Tutorial 1: Un/Self-supervised learning methods
Basic Reinforcement Learning (W3D2)
- Tutorial 1: Introduction to Reinforcement Learning
Reinforcement Learning For Games (W3D3)
- Tutorial 1: Learn to play games with RL
Continual Learning (W3D4)
- Tutorial 1: Introduction to Continual Learning
- Tutorial 2: Out-of-distribution (OOD) Learning
Deep Learning: Advanced Topics Wrap-up

Project Booklet

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Slides

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By Neuromatch
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