Hi! In this video we’re going to build a self-driving RC car using deep learning and then use Weights & Biases Artifacts to debug it. Train a model and experiment with it: Check out the repo: View the project on Weights & Biases: Build your own car: Fully Connected features curated machine learning reports by researchers exploring deep learning techniques, Kagglers showcasing winning models, and industry leaders sharing best practices: 0:00 Intro 0:28 What's Weights & Biases? 1:00 Building the car 2:08 First test drive 2:38 W&B Dashboard and debugging 4:50 Second test drive 5:09 Collecting more images 5:30 Labeling the dataset 5:50 Training the model 6:26 Optimizing the model 6:38 Final test drive 6:55 Artifacts graph 7:31 Outro
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