/mit_deeplearning_bootcamp

Resources for Programming Tutorials

Primary LanguageOpenEdge ABL

Deep Learning Bootcamp Resources

Tutorial 1: Introduction to ML with SciKit Learn

Slides: ML with Python

In this lab we will use the main tutorial for sentiment analysis, as well as the secondary tutorial on natural language inference (time permitting).

If stuck see the main tutorial solutions.

Tutorial 2: Introduction to Deep Learning with PyTorch

Slides: PyTorch

We'll continue our sentiment analysis project with deep learning methods.

Tutorial 3: NLP Tutorial

In this tutorial, we'll continue working on sentiment analysis and introduce RNNs and CNNs.

Tutorial 4: Computer Vision Tutorial

In this tutorial, we'll build neural networks for image-classification and utilize state of the art models.

Tutorial 5: Neural Networks for Chemistry

In this tutorial, we'll build neural networks to encode molecules and predict various chemical properties.