What is this repo about?

Quickly set-up Anaconda based Python (3.6) environment for deep learning (Keras, PyTorch) in Ubuntu 16.04 (xenial) or 18.04 (bionic)
Quickly set-up a Deep Learning instance in AWS, GCP or Paperspace Gradient (coming soon)

The Setup (Ubuntu 16.04 or 18.04 in local workstation)

Before you go through these installation steps:
- UEFI
- These scripts have been regularly used on systems with fresh Ubuntu installations
Clone this repo
- Need to have git installed for cloning (forking+cloning) this repo
- Alternatively, you can download the repo here and extract the content
Change your current directory to the cloned/downloaded repo: cd python-deeplearning-setup
Install the following scripts one-by-one
- Make the scripts executable: run chmod +x *.sh
- Install CUDA: run ./cuda.sh
- Install cuDNN: run ./cudnn.sh
- Install Miniconda: run ./conda.sh
- Create the cv environment: conda env create -f cv.yml
- (Optional) Setup remote access to Jupyter Notebooks:
  - Edit Line no 10 of condaremote.sh to set the correct path (will remove this step in a later iteration)
  - run ./condaremote.sh