I'm looking for foundational textbooks, manuals, or even long articles deep learning applications.
Andrea
A fun read is Pedro Domingos’ “The Master Algorithm”. The book talks about the quest of researchers to build a truly artificial general intelligence. While the second part of the book is less interesting, the idea conveyed in the book definitely get hyped up about the promises on AI. A more theoretical book, and a masterpiece, is Kevin Murphy’s “Machine Learning: A probabilistic approach”. If you’re looking to write a thesis on Data Science, this book shouldn’t be far from your desk.
As a voracious reader, I enjoy reading both technical and nontechnical books. My 2c on a few good books:

 (1) Sebastian Raschka’s “Python Machine Learning (2nd ed)” is an excellent, practical overview of traditional ML.
 (2) Aurelion Geron’s “Hands on Machine Learning with ScikitLearn and TensorFlow” is a superb guide on ML and DL with TensorFlow. I would recommend it to a practitioner
 (3) The book “Prediction Machines  the Simple Economics of AI” (by Ajay Agrawal et al) is a great big picture book on the practical applications and implications of large scale AI
I am reading the Deep Learning book by Goodfellow et al. I found this to be the best book to understand the concepts related to Deep Learning intuitively. The authors have explained it in the most beautiful way one can. Here are the links. 🙂
Deep Learning  website  lecture slides  pdf
by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Do videos count as "books"?
I watch much more videos than read books, like those by Andrew Ng (of course!!!), many others. Books are out of date mostly and slower to input to your brain. Seriously, I don't read books any more just about. All the best universities and other producers have great DL and ML content online in videos now.
The best videos then:
 Too many to list. If you are intro level to machine learning, and already completed Andrew's MOOCs, then I will recommend Statistical Learning MOOC at lagunita.stanford.com by Tibshirani+. Also, Prof Rafael Irizarry of Harvard U's data science certificate sequence of courses at EDX website, which is basically data science for modern biology. If you are expert level or intermediate, then I will recommend watching all the latest current industry talks and shows in your areas of particular interest on video at youtube produced by the many working practitioners of data science at lots of different kinds of companies.
> I'm looking for foundational textbooks, manuals, or even long articles deep learning applications.
This is a great list of books from where to start your journey into Machine/Deep Learning: https://blog.floydhub.com/bestdeeplearningbooksupdatedfor2019/
Here's the curriculum I suggest:
 Learning from Data (get started into ML)
 Grokking Deep Learning (how it works behind the scene: both theoretical and practical)
 The hundred page of Machine Learning (Everything you need to know on ML/DL)
 Handson Machine Learning ... (a terrific handson!)
 Deep Learning
Then to fix the new knowledge my advice is to:
 start competing on Kaggle
 get into Open Source
 reproduce papers
 start your own ML/DL project endtoend (I strongly recommend this, since it will boost your CV)
There may be some book for Deep Learning.
Deep Learning.
Neural Networks and Deep Learning.
Deep Learning with Python.
HandsOn Machine Learning with ScikitLearn and TensorFlow.
TensorFlow Deep Learning Cookbook.
Deep Learning: A Practitioners Approach.
Deep Learning for Computer Vision with Python.
Some of the books for deep learning that you may prefer........
Deep Learning.
Neural Networks and Deep Learning.
Deep Learning with Python.
HandsOn Machine Learning with ScikitLearn and TensorFlow.
TensorFlow Deep Learning Cookbook.
Deep Learning: A Practitioners Approach.
Deep Learning for Computer Vision with Python.
But Books are only for the references and they will only give you a theoretical knowledge only. If you want to learn deep learning than you have to do practical work on it. For that you have to join the deep learning course it may be offline or online doesn't matter from where are doing but learn from there from where you will get a god knowledge.
Hello everyone,
the most books I prefer to read in depth are:
 Machine Learning Yearing by Andrew Ng
 Deep Learning Book by Ian Goodfellow, Yoshua Bengio, Aaron Courville
 Neural Networks and Deep Learning by Michael Nielsen
M.R
Some of the books for deep learning that you may prefer........
Deep Learning.
Neural Networks and Deep Learning.
Deep Learning with Python.
HandsOn Machine Learning with ScikitLearn and TensorFlow.
TensorFlow Deep Learning Cookbook.
Deep Learning: A Practitioners Approach.
Deep Learning for Computer Vision with Python.
But Books are only for the references and they will only give you a theoretical knowledge only. If you want to learn deep learning than you have a good hand in practical work. For that you have to join the deep learning course it may be offline or online doesn't matter from where are doing but learn from there from where you will get knowledge about deep learning .