Full Stack Deep Learning
Full Stack Deep Learning
Full Stack Deep Learning
Course Content
Setting up Machine Learning Projects
Infrastructure and Tooling
Data Management
Machine Learning Teams
Training and Debugging
Testing and Deployment
Research Areas
Labs
Where to go next
Guest Lectures
Xavier Amatriain (Curai)
Chip Huyen (Snorkel)
Lukas Biewald (Weights & Biases)
Jeremy Howard (Fast.ai)
Richard Socher (Salesforce)
Raquel Urtasun (Uber ATG)
Yangqing Jia (Alibaba)
Andrej Karpathy (Tesla)
Jai Ranganathan (KeepTruckin)
Franziska Bell (Toyota Research)
Corporate Training and Certification
Corporate Training
Certification
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Labs

Course Project: Build and Deploy an End-to-End Deep Learning System

The course project is broken up into 8 labs: https://github.com/full-stack-deep-learning/fsdl-text-recognizer-project​

Feel free to follow along, and submit pull requests to the source repo if you'd like to make changes: https://github.com/full-stack-deep-learning/fsdl-text-recognizer​

Videos

Start watching our Labs playlist.

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