Deep Learning model using Keras
This is a project of recognizing the output value (or bit value) out of the given 32 bits of information. This was actually implemented to prevent a loooong time of searching for a larger dataset.
This project was created for my professor as a part of a website containing code samples (like of GitHub) for the college students, developed by the college students.
How to run this?
Step 1: Install packages "Keras"
Step 2: run the Python file belonging to "training" first. It will create a .h5 file
Step 3: run the Python file belonging to "test or implementation". It will run the model which was saved before for prediction.
Thank you for visiting. Happy Coding