Book Image

Deep Learning for Computer Vision

By : Rajalingappaa Shanmugamani
Book Image

Deep Learning for Computer Vision

By: Rajalingappaa Shanmugamani

Overview of this book

Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision. Computer Vision is the science of understanding and manipulating images, and finds enormous applications in the areas of robotics, automation, and so on. This book will also show you, with practical examples, how to develop Computer Vision applications by leveraging the power of deep learning. In this book, you will learn different techniques related to object classification, object detection, image segmentation, captioning, image generation, face analysis, and more. You will also explore their applications using popular Python libraries such as TensorFlow and Keras. This book will help you master state-of-the-art, deep learning algorithms and their implementation.
Table of Contents (17 chapters)
Title Page
Copyright and Credits
Packt Upsell
Foreword
Contributors
Preface

Generative Adversarial Networks


Generative Adversarial Networks (GAN) were invented by Ian Goodfellow, in 2014. It is an unsupervised algorithm where two neural networks are trained as a discriminator and a generator, simultaneously. The technique can generate an image from random noise and a discriminator can evaluate whether is an original image. After further training, the generator network can generate photo-realistic images. The generator network is typically a deconvolutional neural network and the discriminator is a convolution neural network. 

An excellent analogy to understand this is to think of the generator as someone who prints fake money and the discriminator as a police officer who determines whether the money is fake or not. The generator keeps improving the quality of the fake money based on the feedback from the police till the police can't differentiate between the original and fake money. Now, let's start with the implementation. 

Vanilla GAN

The original GAN is called a...