Deep learning has the reputation as an exclusive domain for math PhDs. Not so. With this book, programmers comfortable with Python will learn how to get started with deep learning right away. Using PyTorch and the fastai deep learning library, you’ll learn how to train a model to accomplis...
很多人认为,要在深度学习中取得优秀的结果,你需要各种难以找到的东西,但正如你在本书中所看到的,这些人是错的。表1-1列出了世界级深度学习中绝对不需要的一些东西。 表1-1。深度学习中你不需要的东西 深度学习是一种计算机技术,通过使用多层神经网络来提取和转换数据,应用案例从人类语音识别到动物图像分类不一而...
Chapter 17. A Neural Net from the Foundations This chapter begins a journey where we will dig deep into the internals of the models we used in the previous chapters. … - Selection from Deep Learning for Coders with fastai and PyTorch [Book]
深度学习是一项强大的新技术,我们认为它应该被应用于许多领域。领域专家最有可能发现它的新应用,并且我们需要更多来自各个背景的人参与并开始使用它。 这就是为什么Jeremy共同创立了fast.ai,通过免费的在线课程…
Chapter 4. Under the Hood: Training a Digit Classifier Having seen what it looks like to train a variety of models in Chapter 2, let’s now look under the … - Selection from Deep Learning for Coders with fastai and PyTorch [Book]
当当中国进口图书旗舰店在线销售正版《【预订】Deep Learning for Coders with Fastai and Pytorch: AI Applic... 9781492045526》。最新《【预订】Deep Learning for Coders with Fastai and Pytorch: AI Applic... 9781492045526》简介、书评、试读、价格、图片等相关信息
Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD - the book and the course Welcome to Practical Deep Learning for Coders. This web site covers the book and the 2020 version of the course, which are designed to work closely together. If you haven't yet got...
@book{howard2020deep, title={Deep Learning for Coders with Fastai and Pytorch: AI Applications Without a PhD}, author={Howard, J. and Gugger, S.}, isbn={9781492045526}, url={https://books.google.no/books?id=xd6LxgEACAAJ}, year={2020}, publisher={O'Reilly Media, Incorporated} } ...
1. Deep Learning with Python 2. Grokking Deep Learning 3. Neural Networks and Deep Learning 4. Fundamentals of Deep Learning 5. Deep Learning 6. Deep Learning from Scratch 7. Deep Learning: A Practitioner's Approach 8. Deep Learning for Coders with fastai and PyTorch 9. Deep Learning Illust...
(自学《Deep-Learning-with-PyTorch》使用,仅供参考) 1.对于部署模型,本书中主要使用了两个轻量级Python web框架:Flask(http://flask.pocoo.org)和Sanic(https://sanicframework.org)。 Flask是最流行的框架,而Sanic和Flask本质上相同,但比Flask多了一个对Python中async/await的异步操作,提高了效率。