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Title: RNN (DiffSharp)

Description: DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains.

direct link

Domain: diffsharp.github.io

authorAtılım Güneş Baydin, Don Syme, Barak A. Pearlmutter, Jeffrey Siskind, and DiffSharp contributors

Links:

https://diffsharp.github.io/reference/index.html
Homehttps://diffsharp.github.io/index.html
GitHubhttps://github.com/DiffSharp/DiffSharp/
License (BSD)https://github.com/DiffSharp/DiffSharp/blob/dev/LICENSE
Installhttps://diffsharp.github.io/install.html
Quickstarthttps://diffsharp.github.io/quickstart.html
More Exampleshttps://github.com/DiffSharp/DiffSharp/tree/dev/examples
API Referencehttps://diffsharp.github.io/reference/index.html
Extensionshttps://diffsharp.github.io/extensions.html
DiffSharp.Model https://diffsharp.github.io/reference/diffsharp-model.html
Modelhttps://diffsharp.github.io/reference/diffsharp-model-model.html
RNN(inputSize, hiddenSize, ?numLayers, ?nonlinearity, ?bias, ?batchFirst, ?dropout, ?bidirectional) https://diffsharp.github.io/reference/diffsharp-model-rnn.html#``.ctor``
Tensorhttps://diffsharp.github.io/reference/diffsharp-tensor.html
Tensorhttps://diffsharp.github.io/reference/diffsharp-tensor.html
RNNhttps://diffsharp.github.io/reference/diffsharp-model-rnn.html
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Model.Recurrent.fs#L237-237
Tensorhttps://diffsharp.github.io/reference/diffsharp-tensor.html
Tensorhttps://diffsharp.github.io/reference/diffsharp-tensor.html
RNNhttps://diffsharp.github.io/reference/diffsharp-model-rnn.html
this.forwardWithHidden (input, hidden) https://diffsharp.github.io/reference/diffsharp-model-rnn.html#forwardWithHidden
Tensorhttps://diffsharp.github.io/reference/diffsharp-tensor.html
Tensorhttps://diffsharp.github.io/reference/diffsharp-tensor.html
Tensorhttps://diffsharp.github.io/reference/diffsharp-tensor.html
Tensorhttps://diffsharp.github.io/reference/diffsharp-tensor.html
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Model.Recurrent.fs#L269-269
Tensorhttps://diffsharp.github.io/reference/diffsharp-tensor.html
Tensorhttps://diffsharp.github.io/reference/diffsharp-tensor.html
Tensorhttps://diffsharp.github.io/reference/diffsharp-tensor.html
Tensorhttps://diffsharp.github.io/reference/diffsharp-tensor.html
this.hiddenSize https://diffsharp.github.io/reference/diffsharp-model-rnn.html#hiddenSize
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Model.Recurrent.fs#L254-254
this.inputSize https://diffsharp.github.io/reference/diffsharp-model-rnn.html#inputSize
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Model.Recurrent.fs#L253-253
this.newHidden batchSize https://diffsharp.github.io/reference/diffsharp-model-rnn.html#newHidden
Tensorhttps://diffsharp.github.io/reference/diffsharp-tensor.html
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Model.Recurrent.fs#L256-256
Tensorhttps://diffsharp.github.io/reference/diffsharp-tensor.html

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