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What are the best deep learning books to read?  

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Andrea Lim
(@andrea)
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Joined: 7 months ago
Posts: 17
18/09/2018 6:51 pm  

I'm looking for foundational textbooks, manuals, or even long articles deep learning applications. 

Andrea


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Jan Zawadzki
(@janmzawa)
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Joined: 7 months ago
Posts: 6
19/09/2018 2:14 am  

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.


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atul
 atul
(@atul)
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Joined: 7 months ago
Posts: 3
19/09/2018 3:41 pm  

As a voracious reader, I enjoy reading both technical and non-technical 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 Scikit-Learn 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

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naveen
(@naveen)
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Posts: 1
28/09/2018 11:52 pm  

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


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catiafortunato
(@catiafortunato)
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Joined: 7 months ago
Posts: 2
29/09/2018 11:39 am  

If you want a more programming oriented book, I found this one to be very interesting "Deep Learning with python" from François Chollet 🙂 


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GeoffreyA
(@geoffreya)
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Joined: 7 months ago
Posts: 10
01/10/2018 10:56 am  

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.


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apirate777
(@apirate777)
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Joined: 2 months ago
Posts: 1
02/03/2019 12:16 am  

> 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/best-deep-learning-books-updated-for-2019/

 

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)

- Hands-on Machine Learning ... (a terrific hands-on!)

- 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 end-to-end (I strongly recommend this, since it will boost your CV) 


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Shivkumar
(@shivkumar)
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Joined: 1 month ago
Posts: 7
11/03/2019 6:37 am  

There may be some book for Deep Learning.

Deep Learning.

Neural Networks and Deep Learning.

Deep Learning with Python.

Hands-On Machine Learning with Scikit-Learn and TensorFlow.

TensorFlow Deep Learning Cookbook.

Deep Learning: A Practitioners Approach.

Deep Learning for Computer Vision with Python.


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amitbansal
(@amitbansal)
New Member
Joined: 2 weeks ago
Posts: 3
17/04/2019 2:51 am  

Some of the books for deep learning that you may prefer........

Deep Learning.

Neural Networks and Deep Learning.

Deep Learning with Python.

Hands-On Machine Learning with Scikit-Learn 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.  


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Mo Rebaie
(@mo-rebaie)
Eminent Member
Joined: 3 weeks ago
Posts: 28
18/04/2019 4:04 am  

Hello everyone,

the most books I prefer to read in depth are:

  1. Machine Learning Yearing by Andrew Ng 
  2. Deep Learning Book by Ian Goodfellow, Yoshua Bengio, Aaron Courville
  3. Neural Networks and Deep Learning by Michael Nielsen
This post was modified 6 days ago 2 times by Mo Rebaie

M.R


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amitbansal
(@amitbansal)
New Member
Joined: 2 weeks ago
Posts: 3
18/04/2019 4:15 am  

Some of the books for deep learning that you may prefer........

Deep Learning.

Neural Networks and Deep Learning.

Deep Learning with Python.

Hands-On Machine Learning with Scikit-Learn 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 .  


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mani123
(@mani123)
New Member
Joined: 5 days ago
Posts: 2
19/04/2019 6:09 am  

Goodfellow et al.’s Deep Learning is entirely theoretical and written for an academic audience. There is no code covered in the book.

My second theory-based deep learning (e)book recommendation is Neural Networks and Deep Learning by Michael Nielsen.


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