Exercise in Advanced Machine Learning

Course Purpose
The purpose of this exercise course is to make the programs of speech signal processing and deep neural network technologies for understanding their concepts in these domain.
Learning Goals
Students should be able to:
1) understand miscellaneous concepts of speech signal processing and application technologies, and
2) design applications based on speech signal processing, recognition, synthesis and spoken dialog system technologies.
Topic
Session 1Neural network and Python
Session 2Numpy and Matplotlib
Session 3Interactive programming
Session 4Gradient decent, error back propagation and tensorflow
Session 5Learning parameters
Session 6Simulation of logical functions by NN 1
Sesson 7Simulation of logical functions by NN 2
Session 8Gradient decent method and Local minimum problem
Session 9Activation functions an Deep neural network (DNN)
Session 10Speech spectrum analysis
Session 11Speech cepstrum analysis
Session 12System exercise 1
session 13System exercise 2
Session 14System exercise 3
Session 15Total review
＊＊This content is based on April 1, 2024. For the latest syllabus information and details, please check the syllabus information inquiry page provided by the university.＊＊