This course will help users to understand different Artificial Intelligence learning techniques with neural networks introducing them to advanced Artificial Intelligence projects as they go ahead

The course is an introduction to the basics of deep learning methods. You start with object detection and tracking, in which you track faces, objects and eyes. You then learn to build a neural network and an Optical Character Recognition (OCR) and also how to build learning agents that can learn from interacting with the environment. You use Deep Learning with Convolutional Neural Networks, and use TensorFlow to build neural networks. Subsequently you will build an image classifier using Convolutional Neural Networks.

This video-based course is built for those with a basic understanding of Artificial Intelligence, introducing them to advanced Artificial Intelligence projects as they go ahead. The first module introduces Object Detection and Tracking, and then Artificial Neural Networks Reinforcement Learning and Deep Learning with Convolutional Neural Networks.
This course comes along with a community - Artificial Intelligence with Python - Deep Neural Networks.