🧹 Tune Hyperparameters Easily with W&B Sweeps

In this video, Weights & Biases Deep Learning Educator Charles Frye demonstrates how to instrument an ML pipeline with Sweeps, a hyperparameter optimization tool. Follow along in Colab: http://wandb.me/sweeps-colab Learn how to track training runs in W&B: http://wandb.me/pytorch-video Weights & Biases makes developer tools for machine learning: record and visualize every detail of your research, collaborate easily, advance the state of the art - we’re always free for academics and open source projects. Join our community of ML practitioners where we host AMA's, share interesting projects and meet other people working in Deep Learning: http://wandb.me/fs Our gallery features curated machine learning reports by researchers exploring deep learning techniques, Kagglers showcasing winning models, and industry leaders sharing best practices. https://wandb.ai/fully-connected