Reinforcement Learning

This course covers the specialized branch of machine learning and deep learning called reinforcement learning (RL). By the end of this course students…

Generative Adversarial Networks

This course covers the area in image analysis and computer vision that deals with generative models. By the end of this course students will be abl…

Object Detection

This course introduces students to a special case of image analysis that addresses the problem of object detection in images. By the end of this cours…

Autoencoders

This course takes students through a journey into the world od autoencoders - a set of powerful deep learning models that have a special place in t…

Advanced CNN

This course build on the subject of Convolutional Neural Networks and dives into the complex pre-trained state- of-the-art CNN architectures. It al…

Deep Learning for Text Analysis

This course continues on tackling topics in deep learning that address specific problem types. In this course students will be getting to know RNNs…

Neural Networks & Deep Learning

This course builds on the foundations of neural networks and takes through a series of practical examples of how to measure the performance of a neura…

Introduction to Neural Networks

This course gives students the first preview of the world of Neural Networks and how they work. These state-of- the-art methods build powerful predict…