Python Deep Learning from Basics: Fundamental Approach For Beginners- Neural Networks, Scikit-Learn, Deep Learning, TensorFlow, Data Analytics, Python, Data Science

by Prof John Smith

Python Deep Learning from Basics: Fundamental Approach for Beginners- Neural Networks, Scikit-Learn, Deep Learning, TensorFlow, Data Analytics, Python, Data Science
The deep learning revolution
In this book, you will learn how to build remarkable algorithms intelligent algorithms capable of solving very complex problems that just a decade ago was not even feasible to solve And let's just start with this notion of intelligence so at a very high level
In this book, you'll actually learn how to build complex vision systems building a computer that how to see In addition, you will learn how to build an algorithm that will take as input x-ray images, and as output, it will detect if that person has a pneumothorax just from that single input image. You’ll even make the network explain to you why it decided to diagnose the way it diagnosed by looking inside the network and understanding exactly why I made that decision
What's Inside
What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices And many more...... Click the buy button, to get your copy

53 pages, Kindle Edition

Published December 4, 2018