d2l-en

About this project

D2L.ai: Interactive Deep Learning Book with Multi-Framework Code, Math, and Discussions Book website STAT 157 Course at UC Berkeley The best way to understand deep learning is learning by doing. This open-source book represents our attempt to make deep learning approachable, teaching you the concepts, the context, and the code. The entire book is drafted in Jupyter notebooks, seamlessly integrating exposition figures, math, and interactive examples with self-contained code. Our goal is to offer a resource that could 1. be freely available for everyone; 1. offer sufficient technical depth to provide a starting point on the path to actually becoming an applied machine…

GitHub

Reviews

Built by

d2l-ai

Imported from GitHub · not yet claimed on GitPalace

View developer pageSign in with GitHub to claim

Maintain d2l-ai/d2l-en? Claiming verifies admin access through your GitHub account and gives you control of this listing.

You might also like

tensorflow

Machine Learning

An Open Source Machine Learning Framework for Everyone

★ New198.9K stars

by tensorflow

prompts.chat

Machine Learning

f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-hos

★ New169.5K stars

by f

transformers

Machine Learning

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and

★ New164.9K stars

by huggingface

ComfyUI

Machine Learning

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

★ New131.8K stars

by Comfy-Org