README
¶
deepthought
Neural network library for go.
Features:
- OpenCL optimised matrix functions (blas package).
- GUI with realtime plots built using https://github.com/go-qml/qml.
- Example data models including MNist digit recognition.
To do:
- Add convolutional layers.
- Test visualisation and distortion.
Package documentation: http://godoc.org/github.com/jnb666/deepthought
Contact: John Banks jnb666@gmail.com
Directories
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| Path | Synopsis |
|---|---|
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Package blas contains linear algebra routines for matrix manipulation with optional OpenCL acceleration.
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Package blas contains linear algebra routines for matrix manipulation with optional OpenCL acceleration. |
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Package config converts a config struct to and from string format and persists to file.
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Package config converts a config struct to and from string format and persists to file. |
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Package network implements feedforward neural nets with training using stochastic gradient descent.
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Package network implements feedforward neural nets with training using stochastic gradient descent. |
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iris
Package iris loads the iris dataset from file.
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Package iris loads the iris dataset from file. |
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mnist
Package mnist loads the MNist dataset of handwritten digits.
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Package mnist loads the MNist dataset of handwritten digits. |
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xor
Package xor loads the dataset for an xor gate.
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Package xor loads the dataset for an xor gate. |
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Package qml implements a GUI interface and plotting functions using the go QML bindings.
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Package qml implements a GUI interface and plotting functions using the go QML bindings. |
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Package scl is a set of bindings to make it easy to execute OpenCL kernels.
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Package scl is a set of bindings to make it easy to execute OpenCL kernels. |
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Package vector implements vector types for plotting and statistics.
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Package vector implements vector types for plotting and statistics. |
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