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Deep Learning With Python: 3 Books in 1: A Hands-On Guide for Beginners+A Comprehensive Guide Beyond The Basics+A Comprehensive Guide for Experts

Deep Learning With Python: 3 Books in 1: A Hands-On Guide for Beginners+A Comprehensive Guide Beyond The Basics+A Comprehensive Guide for Experts

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Product Details
Author:
Travis Booth
Publisher:
Independently Published
Publication Date:
November 14, 2019
Number of pages:
666 pages
Language:
English
Binding:
Paperback
ISBN-10:
1708413715
ISBN-13:
9781708413712

Overview

Your Ultimate guide to Deep Learning With Python Deep learning is the hottest new field but it isn't exactly easy to jump right in and start creating intelligent systems. There is the heavy jargon and math to deal with, not to mention the structure of Python itself which makes it difficult to learn things the right way. Well, don't give up just yet! Deep Learning with Python by author Travis Booth is going to walk you step by step through everything you need to know about this fascinating field. Whether you're a rank beginner or an expert looking for a challenging guide, this guide will have everything you need! Filled with tips and tricks about Python and practical examples which will have you creating natural language processing algorithms in a few days along with expert advice on how to best approach this cha;;enging subject, this is one guide you do not want to miss! Inside you will also learn all about: DL basics- Comparing learning models, regression analysis and much more The ins and outs of working with DNNs, RNNs and ANNs Using PyTorch for deep learning Natural language processing and data manipulation Sentiment analysis using ML algorithms and so much more! Start your learning in in Python right and join the thousands of coders who have discovered the power of this wonderful framework! Click buy now! Bonus: Buy the paperback and get the ebook absolutely free!


  • | Author: Travis Booth
  • | Publisher: Independently Published
  • | Publication Date: November 14, 2019
  • | Number of Pages: 666 pages
  • | Language: English
  • | Binding: Paperback
  • | ISBN-10: 1708413715
  • | ISBN-13: 9781708413712

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