SGD and LSTM#105
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alecmocatta wants to merge 129 commits into
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Add .travis.yml.
Implement node caching and gradient accumulation
Add instructions on using BLAS.
Add slice nodes.
Optimizer overhaul
Add missing debug impls.
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I've vendored what looks to me like a nice, well written, pure-Rust (but can optionally use OpenBLAS, Intel MKL, Netlib or Apple's Accelerate framework under the hood) library that contains basic but relatively high-quality implementations of Stochastic Gradient Descent and LSTM RNN, with Hogwild-style parallelisation.