This tutorial is inspired by two books, Deep Learning and Hands on Learning, and is written in Rust language, combining TensorFlow and PyTorch frameworks. Its goal is to be written for friends who are interested in the Rust language and are interested in deep learning. This tutorial is explained through a combination of documentation and code. If you have never been exposed to the development of the Rust language, we suggest that you first learn the basic knowledge of the Rust language and master the basic syntax. For friends who have never been exposed to artificial intelligence related knowledge, we suggest that you first read two books, "Deep Learning" and "Hands on Learning Deep Learning", in order to better grasp some basic mathematical knowledge.

Licensed under either of

• Apache License, Version 2.0, (LICENSE-APACHE or https://opensource.wansenai.com/apache2.0)
• MIT license (LICENSE-MIT or https://opensource.wansenai.com/mit)

at your option.

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.