- Reading level: 10+ years
- Paperback: 300 pages
- Publisher: Shroff/O'Reilly; First edition (2017)
- Language: English
- ISBN-10: 9352135601
- ISBN-13: 978-9352135608
- Product Dimensions: 22.9 x 17.8 x 1.4 cm
- Average Customer Review: 4 customer reviews
- Amazon Bestsellers Rank: #64,274 in Books (See Top 100 in Books)
Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms Paperback – 2017
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About the Author
Nikhil Buduma is a computer science student at MIT with deep interests in machine learning and the biomedical sciences. He is a two time gold medalist at the International Biology Olympiad, a student researcher and a ‚??hacker.‚?ù He was selected as a finalist in the 2012 International BioGENEius Challenge for his research on the pertussis vaccine and served as the lab manager of the Veregge Lab at San Jose State University at the age of 16. At age 19, he had a first author publication on using protist models for high throughput drug screening using flow cytometry. Nikhil also has a passion for education, regularly writing technical posts on his blog, teaching machine learning tutorials at hackathons and recently, received the Young Innovator Award from the Gordon and Betty Moore Foundation for re-invisioning the traditional chemistry set using augmented reality."
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The concepts are not 'cleared'. It was gives you definition and what is it and then some code. If you are a new bee to Deep Learning (or ML in general), not a good pick.
Most helpful customer reviews on Amazon.com
Learn more from luis serrano intro de deep learning on youtube, he explained better how perceptrons together to neural networks can model non linear systems.
Tensorflow is outdated, it is much easier to follow the tutorial given by google with keras.