- 開講元
- システム制御コース
- 担当教員名
- 田中 正行
- 授業形態
- 講義
- メディア利用科目
- 曜日・時限(講義室)
- 月3-4(S516)
- クラス
- -
- 科目コード
- SCE.I501
- 単位数
- 1
- 開講年度
- 2019年度
- 開講クォーター
- 4Q
- シラバス更新日
- 2019年3月18日
- 講義資料更新日
- -
- 使用言語
- 英語
- アクセスランキング
-
media
講義の概要とねらい
Computational imaging systems have variety of applications include consumer cameras, cell phone cameras, vehicle camera systems, surveillance, medical imaging, remote sensing, and human computer interaction. Topics of computational imaging have a wide range of technologies in computer vision and image processing. Recently, the network-based image processing become hot topic. This course focuses on the network-based image processing. In this course, students develop and train the network by themselves.
到達目標
Students are expected to
(i) gain an ability to build and learn deep neural networks,
(ii) gain an ability to use numerical computing environments using MATLAB to solve engineering problems,
(iii) gain practical skill to apply the deep learning techniques such as momentum, data arugumentation and filter setting, after taking this course.
キーワード
Computational imaging, Image processing, Convolutional neural network (CNN), Deep learning, matlab
学生が身につける力(ディグリー・ポリシー)
| ✔ 専門力 | ✔ 教養力 | コミュニケーション力 | 展開力(探究力又は設定力) | ✔ 展開力(実践力又は解決力) |
授業の進め方
This class is a kind of active learning. Instructor will give some information, but students are required to develop their own matlab code.
授業計画・課題
| 授業計画 | 課題 | |
|---|---|---|
| 第1回 | Introduction of this course and of grader system. | Logical operation by neural network |
| 第2回 | Two-layer logical network & simple image processing | Two-layer logical network & simple image processing |
| 第3回 | Introduction of train1000 project: train the network with 1000 samples. | Train 1000 project |
| 第4回 | Introduction of BlockScramble challenge. Type-I: Supervised learning Type-II: Unspervised learning | Develop and train own network. |
| 第5回 | Key techniques of CNN | Develop and train own network. |
| 第6回 | Evaluation data submission | Evaluation data submission |
| 第7回 | Presentation1 | Presentation |
| 第8回 | Presentation2 | Presentation |
教科書
None
参考書、講義資料等
None
成績評価の基準及び方法
Presentation, and report.
関連する科目
- SCE.I531 ： コンピュータビジョン
履修の条件(知識・技能・履修済科目等)
None
その他
Students will code by themselves.
