/Deep-Learning-and-Practice

NCTU(NYCU) Deep Learning and Practice Spring 2021

Primary LanguagePythonMIT LicenseMIT

Deep-Learning-and-Practice

💻 HWs of Deep Learning and Practice Spring 2021 NCTU(NYCU) 深度學習與實務 5261

Prerequisites

  • python >= 3.8
  • gym >= 0.18.0
  • matplotlib >= 3.3.4
  • numpy >= 1.19.2
  • pandas >= 1.2.4
  • scikit-learn >= 0.24.1
  • tensorboard >= 2.5.0
  • torch == 1.7.1
  • tqdm >= 4.60.0
  • CUDA == 10.2

Labs

Lab Description
Lab 0 Warm up
Lab 1 Back propagation
Lab 2 Temporal Difference
Lab 3 EEGNet & DeepConvNet
Lab 4 ResNet
Lab 5 CVAE with LSTM
Lab 6 DQN & DDPG
Lab 7 cGAN & cNF
Project Stock Prediction using Transformer

Usage

$ git clone git@github.com:steven112163/Deep-Learning-and-Practice.git
$ git submodule init
$ git submodule update