First video of 2019. It was a rather terrible one. Kept coughing and having some technical difficulties with python. Disclaimer: Not a python programmer so there will be a lot of bumps along the way.
This video is the first part of a series of videos to implement a feed forward multi-layer perceptron network using keras and python. The difference between this and other videos on the Internet is that we want to build an application (command line application) and not just another set of function calls to build the neural network model. To achieve this, we make use of a json configuration file to define our neural network architecture as well as other parameters. It will eventually have other features such as saving a model file based on the value of the command line argument parameter passed to it. This way, we just have to change the configuration to use/reuse the neural network for other datasets.
