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Back to Classify Radio Signals from Space using Keras

Learner Reviews & Feedback for Classify Radio Signals from Space using Keras by Coursera Project Network

4.5
stars
255 ratings

About the Course

In this 1-hour long project-based course, you will learn the basics of using Keras with TensorFlow as its backend and use it to solve an image classification problem. 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. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and Tensorflow pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Top reviews

VS

Jan 1, 2023

It's a nice course but it recommended that one must have knowledge of CNN and basic knowledge of python. If you think you are interested in radio astronomy you must go for it.

SB

May 23, 2020

The explanations were elaborate and insightful. But the choice of hyperparams seemed to be arbitrary and no justification was provided for it.

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1 - 25 of 39 Reviews for Classify Radio Signals from Space using Keras

By Deleted A

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May 13, 2020

need more attention to theory behind and working of functions

By Praveen K

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Apr 29, 2020

No explanations from the basics of the imported libraries.

By Srivishnu S

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Mar 25, 2022

Excellent course, I really learned a lot by doing the programming part live, while watching the lectures. The sad part was Rhyme could provide me only a little time to use the cloud desktop. Creating a CNN model and seeing it work was amazing. I feel confident that I can apply the same to other data and also tweak some parameters so that it can be understood better.

By Dr.Ravi K

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Apr 25, 2020

Some more details can be inserted for more satellite images. Also there should be at least 2-3 different examples in the project for better understanding of the background fundamentals used behind this code.

By Sudharsan B

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May 24, 2020

The explanations were elaborate and insightful. But the choice of hyperparams seemed to be arbitrary and no justification was provided for it.

By Isuru K

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Oct 30, 2020

Great course. Instructor knows the subject well and guides you through the material explaining each part. Thank you

By JAYDEEP D D

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Jun 7, 2020

IT WAS GREAT EXPERIENCE TO WORK AND PERFORM THIS AMAZING PROJECT WITH SNEHAN KEKRE SIR

By Kirandas P S

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Jul 19, 2020

One of the best guided project ever.

By Dipraj C J

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Jun 12, 2020

It was really good project.

By Mayank S

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May 11, 2020

Thankyou Sir, Well taught.

By Gangone R

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Jul 2, 2020

very useful course

By SASI V T

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Jul 12, 2020

EXCELLENT

By Anitha V

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Jul 12, 2020

EXCELLENT

By Santiago G

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Sep 21, 2020

Thanks

By GUNDABATTINA T

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May 22, 2020

good..

By p s

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Jun 23, 2020

Good

By sarithanakkala

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Jun 23, 2020

Good

By Prithviraj P G

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May 4, 2020

The course could be more effective if the teaching learning process was simple

By vikalp s

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Jan 2, 2023

It's a nice course but it recommended that one must have knowledge of CNN and basic knowledge of python. If you think you are interested in radio astronomy you must go for it.

By aithagoni m

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Aug 6, 2020

good

By tale p

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Jun 22, 2020

good

By Vajinepalli s s

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Jun 16, 2020

nice

By Sanjay S S G

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Jun 13, 2020

I have a basic knowledge in Deep Learning , so i was confident that i could learn this Project. It was little difficult but at the end i felt happy that I got try out & learn something interesting from this Project.

By RITESH C

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Jun 10, 2020

A very well-structured project. Surely, gave me a wonderful insight into building my own CNN.

However, the cloud platform was lagging and slow. Could have been a better user experience.

By Thomas N

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Sep 4, 2020

Using the Rhyme platform is unstable. Some of the functions are not available for the student. Correcting the way the Rhyme platform jumps around is frustrating.