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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

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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

DL basics- Comparing learning models, regression analysis and much moreThe ins and outs of working with DNNs, RNNs and ANNsUsing PyTorch for deep learningNatural language processing and data manipulationSentiment analysis using ML algorithmsand 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!

Buy the paperback and get the ebook absolutely free!

668 pages, Kindle Edition

Published November 12, 2019

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About the author

Travis Booth

28 books

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1 review1 follower
February 12, 2024
Impressive and relevant topic

Excellent book covering basic to advanced topics of ANN ,having used ANNS- MAINLY Feed forwar
d back propagation neutral networks, I appreciate the way various ANN topics explained!

N
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