The data used consists of 2D spectrograms of deep space radio signals collected by the Allen Telescope Array at the SETI Institute and the spectrograms were treated as images to train an image classification model by creating Convolutional Neural Network (CNN) to classify the signals into one of four classes.(i.e. Squiggle, Narrowband, Noise, Narrowbanddrd).
This Project is completed under the guidance of Snehan Kekre(Coursera Project Network).