? Integrate Weights & Biases with PyTorch
In this video, Weights & Biases Deep Learning Educator Charles Frye demonstrates how to integrate W&B into PyTorch code while avoiding interference from the Mirror Universe and a Kraken attack. Follow along in Colab: http://wandb.me/pytorch-colab Check out the Keras version: http://wandb.me/keras-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 to share interesting projects and meet other people working in Deep Learning. http://wandb.me/slack Our gallery, Fully Connected, features curated machine learning reports by researchers exploring deep learning techniques, Kagglers showcasing winning models, and industry leaders sharing best practices. https://wandb.ai/fc 0:00 - What is W&B? How do I add it to my PyTorch code? 3:25 - Installs, imports, and setup 5:49 - Setting hyperparameters and boilerplate 12:03 - Logging metrics and gradients to W&B 15:48 - Reviewing the W&B Dashboard 18:10 - Metadata, system metrics, and model topology in W&B 23:06 - Outro
In this video, Weights & Biases Deep Learning Educator Charles Frye demonstrates how to integrate W&B into PyTorch code while avoiding interference from the Mirror Universe and a Kraken attack. Follow along in Colab: http://wandb.me/pytorch-colab Check out the Keras version: http://wandb.me/keras-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 to share interesting projects and meet other people working in Deep Learning. http://wandb.me/slack Our gallery, Fully Connected, features curated machine learning reports by researchers exploring deep learning techniques, Kagglers showcasing winning models, and industry leaders sharing best practices. https://wandb.ai/fc 0:00 - What is W&B? How do I add it to my PyTorch code? 3:25 - Installs, imports, and setup 5:49 - Setting hyperparameters and boilerplate 12:03 - Logging metrics and gradients to W&B 15:48 - Reviewing the W&B Dashboard 18:10 - Metadata, system metrics, and model topology in W&B 23:06 - Outro