Course title
量子化学Ⅱ   [Quantum ChemistryⅡ]
Course category	thesis research and other related studies	Requirement		Credit	1
Department		Year	～	Semester	Fall
Course type	Fall	Course code	112118
Instructor(s)
金子 弥生   [KANEKO Yayoi]
Facility affiliation	Institute of Global Innovation Research	Office		Email address

Course description

Students will learn frameworks of machine learning that are not included in the lecture on natural language processing, natural language processing topics using deep learning methods, and alphaZero, a famous method that uses deep learning. Class code：qsuoueq(2023/03/29 updated)

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

3/29/2023 2:57:02 PM