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Deep Learning Step by Step with Python: A Very Gentle Introduction to Deep Neural Networks for Practical Data Science

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Deep Learning Step by Step with Python: A Very Gentle Introduction to Deep Neural Networks for Practical Data Science

Finally! Deep Neural Networks Simplified with Python
Deep Learning Step by Step with Python takes you on a gentle, fun and unhurried journey to building your own deep neural network models in Python. Using plain English, it offers an intuitive, practical, non-mathematical, easy to follow guide to the most successful ideas, outstanding techniques and usable solutions available to the data scientist for deep neural networks using Python.

NO EXPERIENCE REQUIRED This book is designed to be accessible - Iâ€™m assuming you never did like linear algebra, donâ€™t want to see things derived, dislike complicated computer code, and youâ€™re here because you want to see deep neural networks explained in plain English, and try them out for yourself. It is so straightforward and easy to follow even your ten year old nephew (who dislikes math) can understand it!

THIS BOOK IS FOR YOU IF YOU WANT:
Explanations rather than mathematical derivation
Real world applications that make sense.
Illustrations to deepen your understanding.
Worked examples in Python you can easily follow and immediately implement.
Ideas you can actually use and try on your own data.

QUICK AND EASY:

YOU'LL LEARN HOW TO:

Unleash the power of Deep Neural Networks for effective forecasting.
Develop hands on solutions for binary classification.
Design successful applications for multi-class problems.
Master techniques for efficient model construction.
Fine tune deep networks to boost, accelerate, and transform predictive performance.

Build Deep Learning Models Faster!

Deep Learning Step by Step with Python

Buy this book today your next big breakthrough using deep neural networks is only a page away!

Country USA
Manufacturer CreateSpace Independent Publishing Platform
Binding Paperback
EANs 9781535410267
ReleaseDate 0000-00-00

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