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Neuromatch Academy: Deep Learning

Introduction

Schedule

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

Quick links and policies

Prerequisites and preparatory materials for NMA Deep Learning

Basics Module

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

Fine Tuning

Optimization (W1D5)
- Tutorial 1: Optimization techniques
Regularization (W2D1)
- Tutorial 1: Regularization techniques part 1
- Tutorial 2: Regularization techniques part 2
Deep Learning: The Basics and Fine Tuning Wrap-up

Convolutional Neural Networks

Convnets And Dl Thinking (W2D2)
Modern Convnets (W2D3)
- Tutorial 1: Learn how to use modern convnets
- Bonus Tutorial: Facial recognition using modern convnets
Generative Models (W2D4)

Natural Language Processing

Attention And Transformers (W2D5)
- Tutorial 1: Learn how to work with Transformers
Time Series And Natural Language Processing (W3D1)
Dl Thinking2 (W3D2)
- Tutorial 1: Deep Learning Thinking 2: Architectures and Multimodal DL thinking
Deep Learning: Convnets and NLP

Reinforcement Learning

Unsupervised And Self Supervised Learning (W3D3)
- Tutorial 1: Un/Self-supervised learning methods
- Bonus Lecture: Melanie Mitchell
Basic Reinforcement Learning (W3D4)
Reinforcement Learning For Games (W3D5)
Deep Learning: Reinforcement Learning Wrap-up

Project Booklet

Introduction to projects
Daily guide for projects
Modeling Step-by-Step Guide
Project Templates
Models and Data sets

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Contents

Welcome Video
Concepts map

Introduction

Contents

Welcome Video
Concepts map

Introduction¶

Welcome to the Neuromatch deep learning course!

Welcome Video¶

Concepts map¶

Concept map overview of curriculum

Image made by John Butler, with expert color advice from Isabelle Butler

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Schedule

By Neuromatch

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