Introduction to Track B

Track B is for members with basic Machine Learning knowledge to learn advanced algorithms in Artificial Intelligence. Deep Learning is the new state of the art in Artificial Intelligence. It uses neural networks for feature extraction and transformation. The objective of the track is to enable members to build sophisticated solutions with Artificial Intelligence.  


The basic Machine Learning knowledge is required to understand Deep Learning. 

Main Contents

The members will learn the following knowledge and skills in this track:
Introduction to Deep Learning
Image Features
Artificial Neural Networks (ANN)
Convolutional Neural Networks (CNN)
Popular CNN Frameworks
Introduction to Open Sources: Keras/Tenserflow
Case studies
Recurrent Neural Networks 
Attention Mechanism
Generative Adversarial Networks
The Latest Developments in Deep Learning