Deep Recurrent Neural Nets in Java
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Updated
Oct 28, 2015 - Java
Deep Recurrent Neural Nets in Java
Symbolic multivariate differentiation of arbitrary order and adaptive optimization.
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SML Implementation of Automatic Differentiation
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Automatic Differentiation Applied to the Likelihood Function for Dynamic General Equilibrium Models
Interest Rate Derivatives pricing library for my master's thesis in Economics af the department of Economics, University of Copenhagen.
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Simple forward-mode automatic differentiation written in Rust.
中文版 《Swift for TensorFlow》 https://github.com/tensorflow/swift
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