Deep Learning

Provides students with the basic fundamentals for building Neural Networks and Deep Learning training models. Covers Multi-Layer Feed Forward Networks, Restricted Boltzmann Machines, Autoencoders, Convolutional Neural Net-works, Recurrent Neural Networks, and Recursive Neural Networks with implementation using TensorFlow. The program introduces practical implementation of Deep Learning to solve real-world problems and familiarizes with essential Deep Learning architectural implementations in various applications such as Computer Vision, Recommender Systems, Text Analysis and Sequencing, and Natural Language Processing using TensorFlow.

In Class, Assignment

Completing the Diploma in Deep Learning exposes students to various fields for hire, predominantly for Deep Learning Engineer, Deep Reinforcement Learning Expert, software engineers, information systems, information analysts, research analyst, data management, and data analysis in various IT industries. The technology sector in Canada is growing at an expansive rate which is allowing for new opportunities to arise in this field. The job market for graduates with understanding in Artificial Intelligence, Machine Learning and Deep Learning in IT industry is projected to grow 56% in the next few years and create new jobs as the number of companies expanding their IT departments, are growing.