Book Image

Artificial Intelligence with Python - Deep Neural Networks [Video]

By : Prateek Joshi
Book Image

Artificial Intelligence with Python - Deep Neural Networks [Video]

By: Prateek Joshi

Overview of this book

<p>The course is an introduction to the basics of deep learning methods. We will start with object detection and tracking, in which we will track faces, objects and eyes. We will then build a neural network and an OCR. We will then learn how to build learning agents that can learn from interacting with the environment. We will use Deep Learning with Convolutional Neural Networks, and use TensorFlow to build neural networks. We will then build an image classifier using convolutional neural networks.</p> <h2>Style and Approach</h2> <p>The video course is structured in such a way that the explanation of a concept is followed by a relevant example. Also, algorithms are explained and their respective code and training dataset is provided.</p>
Table of Contents (4 chapters)
Chapter 2
Artificial Neural Networks
Content Locked
Section 4
Building a Vector Quantizer
Vector Quantization is a quantization technique where the input data is represented by a fixed number of representative points. We will build a vector quantizer in this video. - Define a neural network and train it. Create a grid of points - Extract the classes and grids corresponding to these classes - Plot the outputs