🥕 Integrate Weights & Biases with Keras скачать в хорошем качестве

🥕 Integrate Weights & Biases with Keras

In this video, Weights & Biases Deep Learning Educator Charles Frye demonstrates how to integrate W&B into Keras code while reflecting on getting a PhD in matplotlib, Emily Post's guide to filesystem etiquette, and more. Follow along in Colab: http://wandb.me/keras-colab Check out the PyTorch version: http://wandb.me/pytorch-video Part 2 on logging media: http://wandb.me/media-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 Weights & Biases? What is this video about? 2:04 - Installs, imports, and setup 4:30 - Logging a Keras run to W&B 9:04 - Reviewing the W&B dashboard 11:46 - Logging custom metrics with wandb.log 14:17 - Logging model inputs and outputs 19:42 - Outro