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@robertleeplummerjr robertleeplummerjr commented Nov 4, 2018

A GIF or MEME to give some spice of the internet

Description

Motivation and Context

Fixes #262
Fixes #286

How Has This Been Tested?

Screenshots (if appropriate):

Types of changes

  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)

Author's Checklist:

  • My code focuses on the main motivation and avoids scope creep.
  • My code passes current tests and adds new tests where possible.
  • My code is SOLID and DRY.
  • I have updated the documentation as needed.

Reviewer's Checklist:

  • I kept my comments to the author positive, specific, and productive.
  • I tested the code and didn't find any new problems.
  • I think the motivation is good for the project.
  • I think the code works to satisfies the motivation.

Migrate `hiddenSizes` to `hiddenLayers`
Use more stable equation.input
Adjust RNNTimeStep.run's method to have less arguments that are relevant
Implement RNNTimeStep.toFunction()
Remove json as an argument for any recurrent neural network
More maxPredictionLength into net as property
Remove options.keepNetworkIntact from recurrent net
Created some backward compatibility for hiddenSizes
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@mrorigo may I get your review on this?

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mrorigo commented Nov 4, 2018

Looks good to me, please merge

@robertleeplummerjr robertleeplummerjr merged commit 71864ac into master Nov 4, 2018
@robertleeplummerjr robertleeplummerjr deleted the a-few-fixes branch November 4, 2018 18:10
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Blank output when input string.length > ~100 LSTM/GRU Unable to load Trained Model (LSTMTimeStep) from JSON File

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