Deep Learning with Python - Benjamin Smith - Books - Independently Published - 9798640426670 - April 26, 2020
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Deep Learning with Python

Benjamin Smith

Deep Learning with Python

What do you look for when you are in the market - be it online or physical - when you are out buying your favorite book? You look for the best content that covers almost all aspects of the given topic. You want a book that has got all the information you need, and that is written concisely and clearly. This book is not only for programmers and IT professionals but also for businesspeople who are looking forward to boosting their average sales and customer experience. This book contains all the relevant topics that you'll want to know about deep learning neural networks. You will learn some amazing facts about the role of artificial intelligence in our daily lives. Deep learning is gradually inching toward grabbing hold of all businesses across the world. What makes this book interesting and unique is the fact that it contains practical examples of deep learning neural network that you can study to increase your understanding of these neural networks. The book explains how, as a professional, you can introduce AI in your operations. You'll discover: -Python Data Types-Python User Input and Loops-Python Input()-Python Loops-Python Functions-Python Classes-Artificial Intelligence -Machine Learning-Deep Learning -Linear Regression -Artificial Intelligence in Business-AI in Business-AI in Customer Service-Self-Driving Cars-Generation of Texts-Predicting Earthquake and Cancer-The Future of Deep Learning-Artificial Neural Networks-Convolutional Neural Network-Implementation Using Keras-Deep Learning with Keras-Project Debater-IBM Watson-Ethical Implications of Deep Learning-Loss of Jobs-Racist Robots-Drawbacks of Deep LearningSo what are you waiting for? Get started today by clicking the Buy Now button!

Media Books     Paperback Book   (Book with soft cover and glued back)
Released April 26, 2020
ISBN13 9798640426670
Publishers Independently Published
Pages 158
Dimensions 152 × 229 × 9 mm   ·   217 g
Language English  

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