This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
This repo provides Pytorch implementation for codes in the book "Dive Into Deep Learning" (http://d2l.ai/) and course Berkeley STAT 157 (https://courses.d2l.ai), which gives a brief tutorial on deep learning methods.
[WIP] Dive into Deep Learning (Vietnamese Version) https://github.com/d2l-ai/d2l-en
dive into deep learning 的复现
PyTorch implementations and executable study notes for Dive into Deep Learning (D2L).
Study notes and notebooks from the d2ai book, in Pytorch.
Dive Into Deep Learning (d2l.ai), Using Jax & DeepMind's dm-haiku
本项目用OneFlow实现《动手学深度学习 第二版》(Dive into Deep Learning)中的代码
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