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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