This is the Windows app named Autograd whose latest release can be downloaded as 1.0.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Autograd
DESCRIPTION
Autograd can automatically differentiate native Python and Numpy code. It can handle a large subset of Python's features, including loops, ifs, recursion and closures, and it can even take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation), which means it can efficiently take gradients of scalar-valued functions with respect to array-valued arguments, as well as forward-mode differentiation, and the two can be composed arbitrarily. The main intended application of Autograd is gradient-based optimization. For more information, check out the tutorial and the examples directory. We can continue to differentiate as many times as we like, and use numpy's vectorization of scalar-valued functions across many different input values.
Features
- Simple neural net
- Convolutional neural net
- Recurrent neural net
- LSTM
- Neural Turing Machine
- Backpropagating through a fluid simulation
Programming Language
Python
This is an application that can also be fetched from https://sourceforge.net/projects/autograd.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
