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學生對 Coursera Project Network 提供的 Classify Radio Signals from Space using Keras 的評價和反饋

4.5
244 個評分
37 條評論

課程概述

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....

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SB
2020年5月23日

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

IK
2020年10月29日

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

篩選依據:

1 - Classify Radio Signals from Space using Keras 的 25 個評論(共 38 個)

創建者 tejasva s

2020年5月13日

need more attention to theory behind and working of functions

創建者 Praveen K

2020年4月29日

No explanations from the basics of the imported libraries.

創建者 Srivishnu. S

2021年2月11日

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.

創建者 Dr.Ravi K

2020年4月25日

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.

創建者 Sudharsan B

2020年5月24日

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

創建者 Isuru K

2020年10月30日

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

創建者 JAYDEEP D D

2020年6月7日

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

創建者 Adarsh M L

2020年7月19日

One of the best guided project ever.

創建者 Dipraj C J

2020年6月12日

It was really good project.

創建者 Mayank S

2020年5月11日

Thankyou Sir, Well taught.

創建者 Gangone R

2020年7月2日

very useful course

創建者 SASI V T

2020年7月12日

EXCELLENT

創建者 Anitha V

2020年7月12日

EXCELLENT

創建者 Santiago G

2020年9月21日

Thanks

創建者 GUNDABATTINA T

2020年5月22日

good..

創建者 p s

2020年6月23日

Good

創建者 sarithanakkala

2020年6月23日

Good

創建者 Prithviraj P G

2020年5月4日

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

創建者 aithagoni m

2020年8月6日

good

創建者 tale p

2020年6月22日

good

創建者 Vajinepalli s s

2020年6月16日

nice

創建者 Sanjay S S G

2020年6月13日

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.

創建者 RITESH C

2020年6月10日

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.

創建者 Thomas N

2020年9月4日

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.

創建者 Sagnik S

2020年6月14日

Good for people who already know the basics of deep learning and can work with CNNs.