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學生對 Coursera Project Network 提供的 Simple Recurrent Neural Network with Keras 的評價和反饋

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118 個評分

課程概述

In this hands-on project, you will use Keras with TensorFlow as its backend to create a recurrent neural network model and train it to learn to perform addition of simple equations given in string format. You will learn to create synthetic data for this problem as well. By the end of this 2-hour long project, you will have created, trained, and evaluated a sequence to sequence RNN model in Keras. Computers are already pretty good at math, so this may seem like a trivial problem, but it’s not! We will give the model string data rather than numeric data to work with. This means that the model needs to infer the meaning of various characters from a sequence of text input and then learn addition from the given data. 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. Please note that you will need some experience in Python programming, and a theoretical understanding of Neural Networks to be able to finish this project successfully. 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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1 - Simple Recurrent Neural Network with Keras 的 16 個評論（共 16 個）

創建者 Pravin S

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2020年5月21日

Best Understanding of Recurrent Neural Network in simplest way.

創建者 SENTHIL K B

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2020年5月12日

Excellent planning and guidance throughout

創建者 Gangone R

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2020年7月4日

very useful course

創建者 Prakash S

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2020年5月31日

Excellent tool

創建者 Kamlesh C

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2020年6月21日

Thanks

創建者 Abel F Z C

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2020年7月9日

good

創建者 Vajinepalli s s

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2020年6月20日

nice

創建者 Ashwin P

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2020年5月12日

good

創建者 Daniel S R

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2020年7月13日

Good guided course. I would add a quite more deep details in the model architecture to understand better how are the inputs and the outputs of each layer in the RNN model

創建者 Mohammed B

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2020年6月24日

good

創建者 Mónika J

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2020年5月13日

I think that the explanation on the code is not enough for beginners and that it mostly depends on the student's background and effort wether they understand it or not.

創建者 Salil M

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2020年5月22日

The knowledge about RNN was average, it was mainly focusing on data processing for RNN use, can be improved by using RNN more rigorously

創建者 Beemen B

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2022年11月7日

I am rewriting the review , as I have changed my mind about the project.

Initially, the project seemed a bit too simple/naive.

After finishing it, however, I was able to dig a lot deeper into online articles, and gain a much better understanding of RNN's.

In brief, it was a great door opener to the world of RNN's

創建者 M V

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2020年9月25日

Awesome course, really learnt a lot !

創建者 Pramod H K

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2020年7月26日

Very good and simple intro to RNN.

創建者 Dr R S

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2020年5月10日

Will learn the PYTHON soon and get expert in this.

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