📝 update docs

### Install using a Docker (WIP)

If you want to install using a docker, you can pull two images.

If you want to install using a docker, you can pull two kinds of images.  

DockerHub : https://hub.docker.com/repository/docker/deepchemio/deepchem

- `deepchemio/deepchem:x.x.x`

  - Image built by using a conda package manager (x.x.x is a version of deepchem)

  - Dockerfile is put in `docker/x.x.x` directory of this repository

  - [Docker Hub](https://hub.docker.com/repository/docker/deepchemio/deepchem)

- `deepchemio/deepchem-master`

  - The x.x.x image is built when we push x.x.x. tag

  - Dockerfile is put in `docker/conda-forge` directory of this repository

- `deepchemio/deepchem:latest`

  - Image built by the master branch of deepchem source codes

  - The latest image is built every time we commit to the master branch

  - Dockerfile is put in `docker/master` directory of this repository

  - [Docker Hub](https://hub.docker.com/repository/docker/deepchemio/deepchem-master)

First, you pull the latest stable deepchem docker image.

First, you pull the image you want to use.

```bash

docker pull deepchemio/deepchem

docker pull deepchemio/deepchem:2.3.0

```

Then, you create a container based on our latest image.

Then, you create a container based on the image.

```bash

docker run -it deepchemio/deepchem

docker run -it deepchemio/deepchem:2.3.0

```

If you want GPU support:

```bash

# If nvidia-docker is installed

nvidia-docker run -it deepchemio/deepchem

docker run --runtime nvidia -it deepchemio/deepchem

nvidia-docker run -it deepchemio/deepchem:2.3.0

docker run --runtime nvidia -it deepchemio/deepchem:2.3.0

# If nvidia-container-toolkit is installed

docker run --gpus all -it deepchemio/deepchem

docker run --gpus all -it deepchemio/deepchem:2.3.0

```

You are now in a docker container whose python has deepchem installed.

    . /miniconda/etc/profile.d/conda.sh && \

    conda activate deepchem && \

    pip install tensorflow-gpu==1.14 && \

    conda install -c rdkit -c conda-forge rdkit deepchem==2.3.0 && \

    conda install -c rdkit -c conda-forge rdkit deepchem && \

    conda clean -afy && \

    rm -rf ~/.cache/pip