secondlevel

Back-propagation

It's only using Numpy packages to build two-layer neural network. You can get some detailed introduction and experimental results in the link below. https://github.com/secondlevel/Back-propagation/blob/main/Experiment%20Report.pdf

Cifar10-Classification

Pattern Recognition homework5 in NYCU It is the task to classify CIFAR10 datasets using Vision Transformer. You can get some detailed introduction and experimental results in the link below. https://github.com/secondlevel/Cifar10-Classification/blob/main/310551031_HW5.pdf

Conditional-Sequence-to-Sequence-VAE

This is the Lab4 of the Summer course

Deep-Q-Network-and-Deep-Deterministic-Policy-Gradient

This project uses the pytorch package to implement DQN and DDPG models to automate the LunarLander-v2 and LunarLanderContinuous-v2 games.

Diabetic-Retinopathy-Detection

It is the image classification task to classify Diabetic-Retinopathy category using ResNet18, ResNet50 pretrained model. which is related to kaggle competition. The kaggle competition link can found below. https://www.kaggle.com/c/diabetic-retinopathy-detection#description

EEG-classification

It is the task to classify BCI competition datasets (EEG signals) using EEGNet and DeepConvNet with different activation functions. You can get some detailed introduction and experimental results in the link below. https://github.com/secondlevel/EEG-classification/blob/main/Experiment%20Report.pdf

nsdhw_21au

This is the homework about Numerical Software Development (NYCU 2021 autumn).

NYCU-110-2-Natural-Language-Processing

It is the nlp task to classify empathetic dialogues datasets using RoBERTa, ERNIE-2.0 and XLNet with different preprocessing method. You can get some detailed introduction and experimental results in the link below.

NYCU-UNIX-Programming

This is the summarize of unix program homework.

Social-distance-detector

The purpose of this project aims to calibrate the camera with a frame sequence containing a chessboard, so the input will be the image and the output will be the camera matrix.

secondlevel/EEG-classification

It is the task to classify BCI competition datasets (EEG signals) using EEGNet and DeepConvNet with different activation functions. You can get some detailed introduction and experimental results in the link below. https://github.com/secondlevel/EEG-classification/blob/main/Experiment%20Report.pdf

secondlevel/NYCU-110-2-Natural-Language-Processing

It is the nlp task to classify empathetic dialogues datasets using RoBERTa, ERNIE-2.0 and XLNet with different preprocessing method. You can get some detailed introduction and experimental results in the link below.

secondlevel/Diabetic-Retinopathy-Detection

It is the image classification task to classify Diabetic-Retinopathy category using ResNet18, ResNet50 pretrained model. which is related to kaggle competition. The kaggle competition link can found below. https://www.kaggle.com/c/diabetic-retinopathy-detection#description

secondlevel/Cifar10-Classification

Pattern Recognition homework5 in NYCU It is the task to classify CIFAR10 datasets using Vision Transformer. You can get some detailed introduction and experimental results in the link below. https://github.com/secondlevel/Cifar10-Classification/blob/main/310551031_HW5.pdf

secondlevel/Back-propagation

It's only using Numpy packages to build two-layer neural network. You can get some detailed introduction and experimental results in the link below. https://github.com/secondlevel/Back-propagation/blob/main/Experiment%20Report.pdf

secondlevel/Deep-Q-Network-and-Deep-Deterministic-Policy-Gradient

This project uses the pytorch package to implement DQN and DDPG models to automate the LunarLander-v2 and LunarLanderContinuous-v2 games.

secondlevel/nsdhw_21au

This is the homework about Numerical Software Development (NYCU 2021 autumn).

secondlevel/NYCU-UNIX-Programming

This is the summarize of unix program homework.

secondlevel/Social-distance-detector

The purpose of this project aims to calibrate the camera with a frame sequence containing a chessboard, so the input will be the image and the output will be the camera matrix.

secondlevel/Conditional-Sequence-to-Sequence-VAE

This is the Lab4 of the Summer course

secondlevel/data-visuallization

secondlevel/DLP

There is the Lab during the Summer Course,

secondlevel/Fisher-linear-discriminant

Pattern Recognition homework2 in NYCU. This project is to implement Fisher’s linear discriminant by using only NumPy.

secondlevel/Decision-Tree

Pattern Recognition homework3 in NYCU. This project is to implement the Decision Tree, AdaBoost and Random Forest algorithm by using only NumPy.

secondlevel/Linear-Regression

Pattern Recognition homework1 in NYCU. This project is to implement linear regression by using only NumPy with Gradient Descent.

secondlevel/MakupTransfer-Research-

secondlevel/MediaTek-Lab3

secondlevel/ML-and-DL-Related-Project

secondlevel/NYCU-111-1-Data-Visualization-Data

secondlevel/Support-Vector-Machine

Pattern Recognition homework4 in NYCU. This project is to implement the cross-validation and grid search using only NumPy and train the SVM model.

secondlevel/twstock-information-query-system

secondlevel/Volleyball_Game