From 27ab5bbdc79ec5ac72644d0ca391df233b28c98d Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Stjepan=20Jurekovi=C4=87?= Date: Thu, 18 Jan 2024 14:35:31 +0100 Subject: [PATCH] Added Deep Learning with PyTorch, Second Edition Hi, Stjepan here from Manning. I thought this title might be a good match for your list. Thank you for considering it. Best, --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 3f12d11..59d3e5b 100644 --- a/README.md +++ b/README.md @@ -67,6 +67,7 @@ I find that the key of intelligence and cognition is a very interesting subject - [Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com/index.html) - This book covers many of the core concepts behind neural networks and deep learning. - [Deep Learning - An MIT Press book](http://www.deeplearningbook.org/) - Yet halfway through the book, it contains satisfying math content on how to think about actual deep learning. - [Some other books I have read](https://books.google.ca/books?hl=en&as_coll=4&num=100&uid=103409002069648430166&source=gbs_slider_cls_metadata_4_mylibrary_title) - Some books listed here are less related to deep learning but are still somehow relevant to this list. +- [Deep Learning with PyTorch, Second Edition](https://www.manning.com/books/deep-learning-with-pytorch-second-edition) - Everything you need to create neural networks with PyTorch, including Large Language and diffusion models.