CS4243_lab

reference:
https://github.com/ljhgabe/CS4243-Lab-Materials
https://github.com/xbresson/CS4243_2022

Local Installation for OSX & Linux

1. Conda installation

  # Linux
  curl https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -o miniconda.sh -J -L -k # Linux
  
  # OS X
  curl https://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh -o miniconda.sh -J -L -k # OSX
  
  chmod +x miniconda.sh
  ./miniconda.sh
  source ~/.bashrc

2. Install python libraries

  # Clone GitHub repo
  git clone https://github.com/Jingming517/CS4243_lab.git
  cd CS4243_lab

  # Install python libraries
  conda create -n tf python=3.9
  conda activate tf
  pip install -r requirements.txt

3. Run the notebooks in Chrome

  jupyter notebook

Local Installation for Windows

1. Install Anaconda

https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe

2. Open an Anaconda Terminal
   Go to Application => Anaconda3 => Anaconda Prompt

3. Install git : Type in terminal

  conda install git 
  git clone https://github.com/Jingming517/CS4243_lab.git
  cd CS4243_lab

4. Create Conda environment

 conda create -n tf python=3.9
 conda activate tf
 ### Install TensorFlow
 pip install -r requirements.txt

5. Run the notebooks in Chrome

  jupyter notebook