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The Best fundamentals of deep learning of 2022 – Reviews & Buying Guide

After hours researching and comparing all models on the market, we find out the Best fundamentals of deep learning of 2022. Check our ranking below.

2,944 Reviews Scanned

SaleRank No. #1
Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms
  • Buduma, Nithin (Author)
  • English (Publication Language)
  • 387 Pages - 06/21/2022 (Publication Date) - O'Reilly Media (Publisher)
SaleRank No. #2
Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms
  • Buduma, Nikhil (Author)
  • English (Publication Language)
  • 296 Pages - 07/25/2017 (Publication Date) - O'Reilly Media (Publisher)
Rank No. #3
Fundamentals of Machine Learning and Deep Learning in Medicine
  • Borhani, Reza (Author)
  • English (Publication Language)
  • 207 Pages - 11/19/2022 (Publication Date) - Springer (Publisher)
SaleRank No. #4
Deep Learning (Adaptive Computation and Machine Learning series)
  • Language Published: English
  • Binding: hardcover
  • It ensures you get the best usage for a longer period
  • Hardcover Book
  • Goodfellow, Ian (Author)
Rank No. #5
Python AI Programming: Navigating fundamentals of ML, deep learning, NLP, and reinforcement learning in practice
  • J, Patrick (Author)
  • English (Publication Language)
  • 184 Pages - 01/03/2024 (Publication Date) - GitforGits (Publisher)
Rank No. #6
Deep Learning with PyTorch Step-by-Step: A Beginner's Guide: Volume I: Fundamentals
  • Amazon Kindle Edition
  • Voigt Godoy, Daniel (Author)
  • English (Publication Language)
  • 282 Pages - 01/22/2022 (Publication Date)
Rank No. #7
Deep Learning: Understanding the Fundamentals of Deep Neural Networks (AI Explorer Series Book 3)
  • Amazon Kindle Edition
  • Tu Code, Et (Author)
  • English (Publication Language)
  • 12/25/2023 (Publication Date)
Rank No. #8
Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies
  • Hardcover Book
  • Kelleher, John D. (Author)
  • English (Publication Language)
  • 856 Pages - 10/20/2020 (Publication Date) - The MIT Press (Publisher)
SaleRank No. #9
Math for Deep Learning: What You Need to Know to Understand Neural Networks
  • Kneusel, Ronald T. (Author)
  • English (Publication Language)
  • 344 Pages - 12/07/2021 (Publication Date) - No Starch Press (Publisher)
SaleRank No. #10
Neural Networks and Deep Learning: A Textbook
  • Hardcover Book
  • Aggarwal, Charu C. (Author)
  • English (Publication Language)
  • 553 Pages - 06/30/2023 (Publication Date) - Springer (Publisher)

Last update on 2024-05-24 / Affiliate links / Images from Amazon Product Advertising API

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