
PyTorch深度学习实战
Deep Learning with Pytorch
Eli Eli Stevens、Luca Luca Antiga、Thomas Thomas Viehmann · 初版 2020 年
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Deep Learning with Pytorch
Eli Eli Stevens、Luca Luca Antiga、Thomas Thomas Viehmann · 初版 2020 年
正在加载完整评论……
……在 FastAI V2 库里调用这个来用深度学习做各种很酷炫的事情。”我上完了那门课,真心觉得它应该改名叫“Fast AI V2 库使用教程”。我最近买了 Eli Stevens 写的《Deep Learning with PyTorch》。我一直在啃这本书,感觉它把原理讲得透彻多了。书我还没看完,但目前为止我很喜欢。
…use in the FastAI V2 library to to do this sexy thing with Deep Learning." I completed that course and really felt it should have been titled "A Course on the Fast AI V2 Library" I recently purchased "Deep Learning with PyTorch" by Eli Stevens. I've been working through this book and feel like it explains things a lot more. I'm haven't finished the book with it, but I do like it so far.
市面上已经有几本不错的书,也有一些在写的,但如果非要我现在推荐一本,我会指路这本:https://www.manning.com/books/deep-learning-with-pytorch
There are several good books written or in development, but if I had to pick one right now, I'd point you to this one: https://www.manning.com/books/deep-learning-with-pytorch
《Deep Learning with PyTorch》- https://pytorch.org/assets/deep-learning/Deep-Learning-with-...
Deep Learning with PyTorch - https://pytorch.org/assets/deep-learning/Deep-Learning-with-...
……2016年。https://www.deeplearningbook.org/ 还有 Manning 在 2017 年出版的那本 Python DL 书,却没有收录 Manning 2020 年出版的 PyTorch DL 书?——Stevens 等著《Deep Learning with PyTorch》,Manning 出版社,2020。https://www.manning.com/books/deep-learning-with-pytorch
…2016. https://www.deeplearningbook.org/ And there is the book about DL with Python published by Manning in 2017, but not the book about DL with PyTorch, published by Manning in 2020? - Stevens et al. Deep Learning with PyTorch. Manning Publications, 2020. https://www.manning.com/books/deep-learning-with-pytorch
……医学图像分割?我想学怎么用像 FCN 或 U-Net 这样的预训练 Keras 模型。然而,我目前找到的大多数资料都偏难懂。现在我正在看《Deep Learning with PyTorch》。这本书的第二部分非常详细地讲了图像分割,但有时信息量太密了。我对 CNN、卷积、max pooling 等等都很熟,但不熟悉 upscaling 和 skip connections。
…segmentation for medical images? I would like to learn how to use a pre-trained Keras model like FCN or U-Net. However, most of the resources I've found so far are a bit harder to grasp. Right now, I am reading 'Deep Learning with PyTorch'. The second part of the book covers image segmentation in great detail, but sometimes is too dense. I am familiar with CNNs, convolutions, max pooling, and so on, but not with upscaling and skip connections.
基于这个来看似乎确实如此:https://www.manning.com/books/deep-learning-with-pytorch#toc
It seems like based on this: https://www.manning.com/books/deep-learning-with-pytorch#toc