Brief Course Description
1. Course Title:
Introduction to Deep Learning
2. Language of Instruction:
Tiếng Việt
3. Course Code:
INF509163
4. Credits:
3
5. Course Objectives:
Deep Learning is an area of artificial intelligence (AI) that involves building deep neural network models to solve complex problems, such as image classification, automated translation, and data analysis. Deep Learning is a deep neural network-based machine learning method in which layers of neurons link together to learn from input data and generate predictions for new data. Deep Learning is a rapidly growing field and has many applications in fields ranging from healthcare to industrial automation. It is considered one of the important trends in artificial intelligence today. Deep Learning focuses on how to build and train deep neural network models, along with techniques to optimize these models. Deep Learning courses also cover solving complex problems using deep neural network models, including applications in image processing, natural language, and robot control. Deep learning also often delves into the core techniques of machine learning, including optimizing and calibrating models, processing missing data, and minimizing overfitting. Some common tools used in deep learning include TensorFlow, Keras, and PyTorch.
6. Brief Description of Course Content:
The course content consists of four parts
Chapter 1: Introduction to Deep Learning
Chapter 2: Neural Networks Basics
Chapter 3: Convolutional Neural Networks
Chapter 4: Recurrent Neural Networks
Chapter 5: Deep Learning for Computer Vision
Chapter 6: Natural Language Processing with Deep Learning.
Chapter 7: Deep Reinforcement Learning