Useful materials and tutorials for 110-1 NTU DBME5028 (Application of Deep Learning in Medical Imaging)

Last update: Jun 22, 2022

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Deep Learning 110-1-NTU-DBME5028

Overview

110-1-NTU-DBME5028

Useful materials and tutorials for 110-1 NTU DBME5028 (Application of Deep Learning in Medical Imaging)

Related Material

It is recommended to be familiar with Python programming, Data structure, Algorithm, and Basic machine learning/ deep learning concepts before you take this class.
You must be familiar with several common python libraries (Numpy, Pandas, PyTorch, Scikit-learn, Matplotlib...), which enables you to easily start a deep learning project.
Here are some online classes for you to learn those prerequisite skills.
- NTU CSIE Data structure (DSA) (Prof. Hsuan-Tien Lin)
- NTU CSIE Algorithm (ADA) (Prof. Yun-Nung Chen)
- NTU CSIE Machine Learning (Prof. Hsuan-Tien Lin)
- NTU EE Machine Learning (~DL) (Prof. Hung-Yi Lee)
Basic PyTorch tutorial link.

Material for this class

20211006 Pre-test explanation

Please refer to the link.

Owner

GitHub Repository

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