First, you will need to install git, if not existing on your machine.
Next, clone this repository, open a terminal and type in the following commands:
$ cd <to any workspace folder you like>
$ git clone https://github.com/spinfo/LSS_DLwithText.git
$ cd LSS_DLwithText
You do not need to install git. You can also download the repo master.zip and unzip it in your preferred workspace.
The easiest approach to open our notebooks is to download and install Anaconda. This is a piece of software that includes both Python and many machine learning libraries.
You can install Keras in the Anaconda Navigator by opening Anaconda Navigator and switching to Environments. It is useful to define different environments for different projects but we will use base (root) environment. Pick up "Not installed" in the Drop Down Menu. Next, type in "Keras" in the "Search Package" text field and install latest Keras version.
You are done with the installation. Next section describes how to open now the Jupyter notebooks.
Open Anaconda Prompt and type in:
$ cd <to any workspace folder you like>/LSS_DLwithText/src
$ jupyter notebook
This should open up your browser, and you should see Jupyter's tree view, with both notebooks.
Note: If your browser does not open automatically, open localhost:8888.
Let's get started!