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书籍“Regularization tools for training large feed-forward neural networks using Automatic Differentiation”的源码文件
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Semi-automatic Differentiation (SD) Toolkit is a Matlab implementation
of the complex step derivative (CSD) technique for the differentiation of real-valued functions. The Toolkit consists of three core functions:
sdGrad.m - Returns CSD approx
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自动微分方法在XIAMEN软件优化中的应用-XIAMEN automatic differentiation method to optimize the application software
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利用自动微分技术求解高阶导数的实用工具，可用来求解非线性系统的各种高阶矩阵，亲证可用。-Use of automatic differentiation to solve the higher order derivatives of utility can be used to solve nonlinear systems of a variety of high-end matrix, pro-card available.
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自动微分法源程序，一般用于基于梯度优化过程中的梯度求解。-Source of automatic differentiation method, generally used for solving based on the gradient gradient optimization process.
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This a suite of tools to solve automatic numerical differentiation problems in one or more variables. All of these methods also produce error estimates on the result.
A pdf file is also provided to explain the theory behind these tools.Author: John
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Explore machine learning concepts using the latest numerical computing library — TensorFlow — with the
help of this comprehensive cookbook(TensorFlow was open sourced in November of 2015 by Google, and since then it has become
the most starred mach
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