Book Image

Neural Network Projects with Python

By : James Loy
Book Image

Neural Network Projects with Python

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)

Questions

  1. How is face detection different than face recognition?

The objective of face detection is to locate human faces in an image. The output from the face detection process is a bounding box around detected faces. On the other hand, the objective of face recognition is to classify faces (that is, identify subjects). Face detection and face recognition are the two key steps in every facial recognition system, and the output from the face detection step is passed as input to the face recognition step.

  1. What is the Viola-Jones algorithm for face detection?

The Viola-Jones algorithm uses Haar features for face detection. Haar features are filters with alternating dark and bright areas that represents the contrast in pixel intensity in human faces. For example, the eye area in an image of a human face has a darker pixel value than the forehead and the cheeks areas. These...