| 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
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