Course title
生体モデル知覚システム特論Ⅱ   [Advanced Bio-modeled Sensory Systems Ⅱ]
Course category	interdisciplinary exchange courses	Requirement		Credit	1
Department		Year	～	Semester	1st
Course type	1st	Course code	112118
Instructor(s)
古宮 嘉那子   [KOMIYA Kanako]
Facility affiliation	Graduate School of Bio-Applications and Systems Engineering	Office		Email address

Course description

Students will learn frameworks of machine learnings that are not included in the lecture of natural language processing, natural language processing topics using deep learning methods, and alphaZero, famous method that uses deep learning.

Expected Learning

You will learn various machine learnings with special focus on semi-supervised learning. You will understand deep learning, especially natural language processing and AlphaZero. Corresponding criteria in the Diploma Policy: See the Curriculum maps. Class code:5bzgcok

Course schedule

1.　Orientation 2.　Ensemble learning 3.　Various machine learning 4.　Deep learning 1: Neural networks and activation function 5.　Deep learning 2 Backpropagation and tips for DL 6.　Deep learning 3 CNN and RNN 7.　Deep learning 4 Transformers and word embeddings 8.　Deep learning 5: Transfer learning and AlphaZero

Prerequisites

You should have knoledge learned at lecture of natural language processing and advanced bio-modeled sensory systems I. You should have some programing skills of python.

Required Text(s) and Materials

Handouts are provided.

References

Assessment/Grading

The grading is done according to final report. You should learn how to use machine learning toolkit on your own, because you must use them for your report but there is no lesson for how to use them.

Message from instructor(s)

Course keywords

Office hours

Email to the instructor.

Remarks 1

Remarks 2

Related URL

Lecture Language

Japanese

Language Subject

Last update

6/3/2022 2:14:42 PM