fastai与PyTorch深度学习实战
Deep Learning for Coders with fastai and Pytorch
Jeremy Howard、Sylvain Gugger · 初版 2020 年
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Deep Learning for Coders with fastai and Pytorch
Jeremy Howard、Sylvain Gugger · 初版 2020 年
正在加载完整评论……
0. 吴恩达（Andrew Ng）在斯坦福的 ML 课 1. 吴恩达在 Coursera 上的深度学习专项课程（Deep Learning Specialization） 2. Jeremy Howard 写的《Deep Learning for Coders with fastai and PyTorch》 3. 把 PyTorch 学透。要么看 d2l.ai（动手学深度学习），要么读 Manning 出的那本 PyTorch 书。学到这里就要开始自己做项目了。接下来就看你想往哪个方向走了。>> 是打算跟风冲 LLM 的热潮？……
0. ML by Ng @Stanford 1. Deep Learning Specialization by Ng @Coursera 2. Deep Learning for Coders with fastai and PyTorch by Jeremy Howard 3. Learn PyTorch really well. Either use d2l.ai or the PyTorch book from Manning. START MAKING PROJECTS HERE Now it depends where you want to go. >> Jump the hype train of LLM?…
……Python 版》，François Chollet 著。[4][5] 《数据科学实战：Python 原理与实现》，Joel Grus 著。[6][7] 还有 https://fast.ai 上的 fast.ai 课程，他们还出了一本书，叫《Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD》，作者是 Jeremy Howard 和 Sylvain Gugger。他们积累了好几年的机器学习和深度学习授课视频。关于怎么训练模型，有大把的书和资源……
…with Python", by François Chollet.[4][5] "Data Science from Scratch: First Principles with Python", by Joel Grus.[6][7] There are the fast.ai courses on https://fast.ai and also have a book titled: "Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD" by Jeremy Howard and Sylvain Gugger. They have the lectures for several years on machine learning and deep learning. There are many books and resources on how to train…
……对我影响很大。至于计算机科学（CS）：我觉得学会把程序写好，才让我觉得这个领域没白学。其他人提到了 Petzold 的《Code》（编码）。当年我学深度学习的时候，Jeremy Howard 的那本《Deep Learning for Coders with fastai and PyTorch》加上配套视频，帮我轻松入门了深度学习。我当然不是只靠它，但它确实是个极好的起点。《The Little Schemer》也很棒。这本小薄书的价值远远超过……
…big influence in me. CS: I would say that learning to program well made the field worthwhile for me. Others have mentioned Code by Petzold. When I was learning Deep Learning, Jeremy Howard's book "Deep Learning for Coders with fastai and PyTorch" and the lecture videos made Deep Learning easier for me. I did not rely upon only that. But it was a great starting point. The Little Schemer was great, too. This little book is worth much more than…
《Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD》能让你光凭过硬的编程能力就能设计并实现深度学习模型。只需最基础的数学，没有复杂的算法推导，也不用做证明。Howard 当年关于 ULMFiT 的论文可以说是 state……
“Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD” will allow you to design and implement deep learning models with only good programming skill. Basic maths, no algorithms, no proofs. Howard’s paper on ULMFiT was state…
挺遗憾的，他们竟然没像《Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD》（https://course.fast.ai/Resources/book.html）那样专门单列一章讲伦理。真希望大家能读读那一章，或者去听听[配套免费课程](https://course.fast.ai/)里的伦理部分……
It's a shame that they don't include a chapter on ethics the way [Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD](https://course.fast.ai/Resources/book.html) does. I hope people read the etics chapter or use the ethics section of the [associated free course](https://course.fast.ai/)…
……测试以及部署。而且像 Howard 自己开发的 nbdev 之类的插件和工具，能很好地补齐 Jupyter Notebook 缺失的功能。举个例子，Howard 提到他甚至是用 fastdoc 写出并出版了《Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD using Jupyter Notebooks》。这场演讲非常精彩、干货满满！Jeremy Howard - 用 nbdev 和 fastdoc 打造令人愉悦的库与图书 | JupyterCon 2020 https://www.youtube.com/watch?v=HKt19-GsA1I
…testing, and deployment. And add-ins and tools, like Howard's own nbdev, can help address what's missing in Jupyter Notebook. As an example, Howard notes how fastdoc even enabled him to write and publish "Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD using Jupyter Notebooks." Excellent, inspiring talk! Jeremy Howard - Creating delightful libraries and books with nbdev and fastdoc | JupyterCon 2020 https://www.youtube.com/watch?v=HKt19-GsA1I