English | 2017 | ISBN-10: 1973908786 | 82 pages | AZW3 | 0.2 MB
Deep learning has been a great part of various scientific fields and since this is my third book regarding this topic, you already know the great significance of deep learning in comparison to traditional methods. At this point, you are also familiar with types of neural networks and their wide range of applications including image and speech recognition, natural language processing, video game development and other. On the other hand, this book is all about convolutional neural networks and how to use these neural networks in various tasks of automatic image and speech recognition in Python. You will also get a better insight into the architecture of convolutional layers as we are going deeper into this subject. Deep learning is pretty complex subject, but since you already have a fundamental knowledge of this topic, getting to know convolutional neural networks better is next logical step.

What you will learn in Convolutional Neural Networks in Python:

Architecture of convolutional neural networks

Solving computer vision tasks using convolutional neural networks

Python and computer vision

Automatic image and speech recognition

Theano and TenroeFlow image recognition

How to use MNIST vision dataset

What are commonly used convolutional filters