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Full Stack Deep Learning Spring 2021 Labs

Welcome!

As part of Full Stack Deep Learning 2021, we will incrementally develop a complete deep learning codebase to understand the content of handwritten paragraphs.

We will use the modern stack of PyTorch and PyTorch-Ligtning

We will use the main workhorses of DL today: CNNs, RNNs, and Transformers

We will manage our experiments using what we believe to be the best tool for the job: Weights & Biases

We will set up continuous integration system for our codebase using CircleCI

We will package up the prediction system as a REST API using FastAPI, and deploy it as a Docker container on AWS Lambda.

We will set up monitoring that alerts us when the incoming data distribution changes.

Sequence:

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Complete deep learning project developed in Full Stack Deep Learning, Spring 2021

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