This paper is published in Volume-6, Issue-3, 2020
Area
Deep Learning
Author
Tarit Sengupta
Org/Univ
Techno Main Salt Lake, Kolkata, West Bengal, India
Keywords
Radio Signals, Space Signals, Seti Data, Cnn Model, Model Train
Citations
IEEE
Tarit Sengupta. Classify radio signals from space, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Tarit Sengupta (2020). Classify radio signals from space. International Journal of Advance Research, Ideas and Innovations in Technology, 6(3) www.IJARIIT.com.
MLA
Tarit Sengupta. "Classify radio signals from space." International Journal of Advance Research, Ideas and Innovations in Technology 6.3 (2020). www.IJARIIT.com.
Tarit Sengupta. Classify radio signals from space, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Tarit Sengupta (2020). Classify radio signals from space. International Journal of Advance Research, Ideas and Innovations in Technology, 6(3) www.IJARIIT.com.
MLA
Tarit Sengupta. "Classify radio signals from space." International Journal of Advance Research, Ideas and Innovations in Technology 6.3 (2020). www.IJARIIT.com.
Abstract
The data we are going to use consists of 2D spectrograms of deep space radio signals collected by the Allen Telescope Array at the SETI Institute. We will treat the spectrograms as images to train an image classification model to classify the signals into one of four classes. By the end of the project, you will have built and trained a convolutional neural network from scratch using Keras to classify signals from space.
