Chevron Left
Simple Recurrent Neural Network with Keras に戻る

Coursera Project Network による Simple Recurrent Neural Network with Keras の受講者のレビューおよびフィードバック

4.5
星
115件の評価

コースについて

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....

人気のレビュー

フィルター：

Simple Recurrent Neural Network with Keras： 1 - 15 / 15 レビュー

by Pravin S

•

2020年5月21日

Best Understanding of Recurrent Neural Network in simplest way.

by SENTHIL K B

•

2020年5月12日

Excellent planning and guidance throughout

by Gangone R

•

2020年7月4日

very useful course

by Prakash S

•

2020年5月31日

Excellent tool

by Kamlesh C

•

2020年6月21日

Thanks

by Abel F Z C

•

2020年7月9日

good

by Vajinepalli s s

•

2020年6月20日

nice

by Ashwin P

•

2020年5月12日

good

by Daniel S R

•

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

by Mohammed B

•

2020年6月24日

good

by Mónika J

•

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.

by Salil M

•

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

by M V

•

2020年9月25日

Awesome course, really learnt a lot !

by Pramod H K

•

2020年7月26日

Very good and simple intro to RNN.

by Dr R S

•

2020年5月10日

Will learn the PYTHON soon and get expert in this.

Coursera Footer

キャリアをスタート、またはキャリアアップする

人気のあるトピックを閲覧

人気のコースと記事

オンラインで学位または証明書を取得する

Coursera

コミュニティ

さらに表示

場所を選ばす学習する
App StoreからダウンロードGoogle Playで取得
Placeholder