Course Description

Course CodeCourse NameCreditsHours
3604164 Deep Learning 3.0 3
Description The goal of this course is to introduce fundamental theories behind deep learning and summarize the state-of-the-art research results. We will also teach how to use Python library (TensorFlow & Keras) and demonstrate how to apply deep learning algorithms to real-life applications. The content includes: 1.Introduction to Deep Learning 2.Machine Learning Basics 3.Backpropagation and Gradient Descent 4.Convolutional Neural Networks (CNN) 5.Image Classification and Object Detection 6.Recursive Neural Networks (RNN) and Long Short-Term Memory (LSTM) 7.Generative Adversarial Networks 8.Unsuprivsed Deep Learning 9.Deep Reinforcement Learning