内容简介：These notebooks cover an introduction to deep learning, fastai, and PyTorch. They are copyright Jeremy Howard and Sylvain Gugger, 2020 onwards.The code in the notebooks and pythonThe remainder (including all markdown cells in the notebooks and other prose)
The fastai book
These notebooks cover an introduction to deep learning, fastai, and PyTorch. They are copyright Jeremy Howard and Sylvain Gugger, 2020 onwards.
The code in the notebooks and python .py
files is covered by the GPL v3 license; see the LICENSE file for details.
The remainder (including all markdown cells in the notebooks and other prose) is not licensed for any redistribution or change of format or medium, other than making copies of the notebooks or forking this repo for your own private use. No commercial or broadcast use is allowed. We are making these materials freely available to help you learn deep learning, so please respect our copyright and these restrictions.
If you see someone hosting a copy of these materials somewhere else, please let them know that their actions are not allowed, and may lead to litigation. Moreover, they would be hurting the community, because we're not likely to release additional materials in this way if people ignore our copyright.
This is an early draft. We will be providing a channel for comments and feedback soon.
以上就是本文的全部内容，希望本文的内容对大家的学习或者工作能带来一定的帮助，也希望大家多多支持 码农网
猜你喜欢:
本站部分资源来源于网络，本站转载出于传递更多信息之目的，版权归原作者或者来源机构所有，如转载稿涉及版权问题，请联系我们。
垃圾回收的算法与实现
中村成洋、相川光 / 丁灵 / 人民邮电出版社 / 2016-7-1 / 99.00元
★ Ruby之父Matz作推荐语：上古传承的魔法，彻底揭开垃圾回收的秘密！ ★ 日本天才程序员兼Lisp黑客竹内郁雄审校 本书前半介绍基本GC算法，包括标记-清除GC、引用计数、复制算法的GC、串行GC的算法、并发GC的算法等。后半介绍V8、Rubinius、Dalvik、CPython等几种具体GC的实现。本书适合各领域程序员阅读。一起来看看 《垃圾回收的算法与实现》 这本书的介绍吧!
XML、JSON 在线转换
在线XML、JSON转换工具
XML 在线格式化
在线 XML 格式化压缩工具