Recurrent Neural Network (RNN) in R | A Rstudio Tutorial on Keras and Tensorflow

Published: 06 February 2020
on channel: LiquidBrain Bioinformatics

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Using a public data provided from a weather station, let us go through the journey of using Rstudio/keras/tensorflow to create a model that could predict the upcoming temperature using past data.

Download the Code here:
https://github.com/brandonyph

Subtopic list:
1. Understand the dataset
2. What, when and why RNN?
3. Example 1(non RNN):Flatten Layers to NN
4. Example 2:Single Layer LSTM to NN, using custom data unrolling
5. Example 3:Single Layer Gru/LSTM to NN, using generator function
6. Data Reduction + Data Remodeling
7. Neural Network Model Optimization

Source Material
https://blogs.rstudio.com/tensorflow/...

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