twcmchang/MLDS2017Final

Stars
2
Language
Python
Created over 7 years ago
Updated almost 7 years ago

twcmchang/MLDS2017Final

twcmchang

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Why Batch Normalization Works so Well (best peer-reviewed project at MLDS, 2017 Spring)

hands-on-DL

Hands-on tutorial of deep learning in Keras (Python)

Jupyter Notebook

hands-on-ML

Hands-on tutorial of machine learning in Python

Jupyter Notebook

colorful-moth

Artificial intelligence reveals environmental constraints on colour diversity in insects, Nature Communications (2019)

Jupyter Notebook

MLDS2017

Machine Learning and Having it Deep and Structured at National Taiwan University, 2017 Spring

Jupyter Notebook

DLCV2018SPRING

Deep Learning for Computer Vision at National Taiwan University, 2018 Spring (1st place at final competition)

Jupyter Notebook

ML2017FALL

Machine Learning at National Taiwan University, 2017 Fall

gynecology

clinical diagnosis in gynecology

oh-my-env

magic-effect

Jupyter Notebook

CP-CNN

Channel-Prioritized Convolutional Neural Networks for Sparsity and Multi-fidelity

CP-CNN-v2

CS760-Final

Progressive Slimming for Convolutional Neural Networks

Intro-to-Optimization

CS 524 - Introduction to Optimization

LMCV2019

CS 838 Learning Based Methods in Computer Vision

Jupyter Notebook

notes

Jupyter Notebook

MAP

Moth Altitude Prediction (MAP) - understanding the moth distribution in Taiwan

Jupyter Notebook