Deep Learning with Pytorch

What Hacker News says

1. apohnOct 2021
   Am I allowed to have a contrarian opinion :)

   I went through the first version of FastAI (when it was Keras, torch?/tensorflow?) and forgot most of it because never did anything with Deep Learning. Then I did the FastAI V1 course again where they use FastAI library V2.

   I really liked the first version of the course because I felt like Jeremy did an awesome job of balancing understanding the guts of using a DL library with getting stuff done. It was a tough course, but I felt like I really understood things.

   I felt like the version with FastAI library V2 went too far into "Here are some commands you can 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.

   Show morethread
2. jstx1Aug 2021
   Deep Learning with PyTorch - https://pytorch.org/assets/deep-learning/Deep-Learning-with-...
   thread
3. jeffreysmithDec 2018
   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
   thread
4. perfoptJan 2022
   How important is it to learn DNN/NN from scratch? I have several years of experience working in the tech industry and I am learning DNN for applying it in my domain. Also for hobby side projects.

   I did the ML Coursera course by Andrew Ng a few years ago. I liked the material but I felt the course focused a little too much on the details and not enough on actual application.

   Would learning DNN from a book like 1. https://www.manning.com/books/deep-learning-with-pytorch or 2. https://www.manning.com/books/deep-learning-with-python-seco...

   Be a better approach for someone looking to learn concepts and application rather than the detailed mathematics behind it?

   If yes, which of these two books (or alternative) would you recommend ?

   Show morethread
5. aurahamMar 2021
   Any recommendations for learning image 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.
   Show morethread
6. wokoJul 2020
   I find it weird that this (free) book was omitted:

   - Goodfellow et al. Deep learning. MIT press, 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

   thread