Space signal wave classification using Tensorflow-Keras

By Kushagra Kinjawdekar

The project uses Tensorflow Keras convolutional neural network, to train model to classify wave signals, with a callback to prevent overfitting.

Requirements:

1. Python - 3.6/3.7

2. Tensorflow - 2.0.0-2.1.0

Note - Livelossplot a library doesn't work on higher version of TensorFlow hence make sure you have the same TensorFlow version as  mentioned.

About  Callback

LIVELOSSPLOT

Don't train deep learning models blindfolded! Be impatient and look at each epoch of your training!

 

Usage:

1. The notebook consists of a convolutional neural network to the classify problem.

2. The Livelossplot, callbacks are advanced techniques used to prevent overfitting and to check up on the training.

3. Open jupyter notebook and run all cells. You can collect data through Kaggle.

Dataset:

The following link contains the dataset:

dataset