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Neural Network Projects with Python

Neural Network Projects with Python

By : James Loy
4.6 (15)
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Neural Network Projects with Python

Neural Network Projects with Python

4.6 (15)
By: James Loy

Overview of this book

Neural networks are at the core of recent AI advances, providing some of the best resolutions to many real-world problems, including image recognition, medical diagnosis, text analysis, and more. This book goes through some basic neural network and deep learning concepts, as well as some popular libraries in Python for implementing them. It contains practical demonstrations of neural networks in domains such as fare prediction, image classification, sentiment analysis, and more. In each case, the book provides a problem statement, the specific neural network architecture required to tackle that problem, the reasoning behind the algorithm used, and the associated Python code to implement the solution from scratch. In the process, you will gain hands-on experience with using popular Python libraries such as Keras to build and train your own neural networks from scratch. By the end of this book, you will have mastered the different neural network architectures and created cutting-edge AI projects in Python that will immediately strengthen your machine learning portfolio.
Table of Contents (10 chapters)
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Facial recognition systems

Facial recognition systems have become ubiquitous in our every lives. When the iPhone X was first unveiled in 2017, Apple boasted that their new state-of-the-art face ID system was able to instantaneously recognize and authenticate users with just a single glance. Driving this was the Apple A11 Bionic chip, which includes dedicated neural network hardware, allowing the iPhone to perform blazingly fast facial recognition and machine learning operations. Today, almost all smartphones have a facial recognition security system.

In 2016, Amazon started its first supermarket with advanced facial recognition capabilities, known as Amazon Go. Unlike traditional supermarkets, Amazon Go uses facial recognition to know when you first arrive at the supermarket and when you removed an item from the shelf. When you've finished shopping, you can simply walk out...

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