diff --git a/README.md b/README.md index 3f12d11..13efa8e 100644 --- a/README.md +++ b/README.md @@ -67,8 +67,10 @@ 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. - - +- [Math and Architectures of Deep Learning](https://www.manning.com/books/math-and-architectures-of-deep-learning) - This book sets out the foundations of DL in a way that’s both useful and accessible to working practitioners. +- [Inside Deep Learning](https://www.manning.com/books/inside-deep-learning) - Journey through the theory and practice of modern deep learning. +- [Transfer Learning in Action](https://www.manning.com/books/transfer-learning-in-action) - Book that teaches the fundamental concepts of transfer learning and how you can easily apply them to your projects. +- [Engineering Deep Learning Platforms](https://www.manning.com/books/engineering-deep-learning-platforms) - Book that teaches how to design systems optimized for deep learning models. ## Posts and Articles