Deep Learning With Python: A Comprehensive Beginner’s Guide to Learn the Realms of Deep Learning with Python from A-ZКНИГИ » ПРОГРАММИНГ
Название: Deep Learning With Python: A Comprehensive Beginner’s Guide to Learn the Realms of Deep Learning with Python from A-Z Автор: Benjamin Smith Издательство: Amazon.com Services LLC Год: 2020 Страниц: 118 Язык: английский Формат: pdf, azw3, epub Размер: 10.1 MB
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 business people 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 Learning
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