Search Results for "back propagation matlab code"
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Showing 14 open source projects for "back propagation matlab code"
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ServiceTalk
A networking framework that evolves with your application
ServiceTalk is a JVM network application framework with APIs tailored to specific protocols (e.g. HTTP/1.x, HTTP/2.x, etc…) and supports multiple programming paradigms. ServiceTalk is intended to provide a common and extensible networking abstraction on top of a lower-level networking framework (e.g. Netty). Netty is a great low-level networking framework, but when used for service-to-service communication it presents a few opportunities for improvement. Fully asynchronous and requires... -
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TensorBoardX
tensorboard for pytorch (and chainer, mxnet, numpy, etc.)
The SummaryWriter class provides a high-level API to create an event file in a given directory and add summaries and events to it. The class updates the file contents asynchronously. This allows a training program to call methods to add data to the file directly from the training loop, without slowing down training. TensorboardX now supports logging directly to Comet. Comet is a free cloud based solution that allows you to automatically track, compare and explain your experiments. It adds a... -
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Ultrashort Pulse Propagator
A powerful simulation for designing femtosecond lasers and amplifiers.
This is a simulation package developed for numerical simulation of ultrashort pulse propagation in optical media and pulse generation from mode-locked lasers. Although the code is primarily intended for investigations of fiber links, fiber amplifiers and fiber lasers, it can be applied to any other setting for which the governing equiations are valid. The physics included in the code is based on a generalized nonlinear Schrödinger equation, including higher order dispersion, stimulated Raman... -
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MATLAB code for Generalized Approximate Message Passing (GAMP). GAMP is a Gaussian approximation of loopy belief propagation for estimation problems in compressed sensing and other non-Gaussian problems with linear mixing.
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Grenade
Deep Learning in Haskell
...To perform back propagation, one can call the eponymous function which takes a network, appropriate input, and target data, and returns the back propagated gradients for the network. The shapes of the gradients are appropriate for each layer and may be trivial for layers like Relu which have no learnable parameters. -
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Multiple Back-Propagation (with CUDA)
Open source software for training neural networks
Multiple Back-Propagation is an open source software application for training neural networks with the backpropagation and the multiple back propagation algorithms. Currently this project is also hosted at http://code.google.com/p/multiplebackpropagation -
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This project, developed at UCL London, provides code for tomographic reconstruction. NiftyRec is written in C and has Python and Matlab extensions. Computationally intensive functions have a GPU accelerated version based on CUDA.
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pymatlab
A pythonic interface to MATLAB
This package lets Python users interface and communicate with MATLAB from Python. Pymatlab makes it easier for users to integrate a project with a large MATLAB codebase into python scripts by using MATLAB scripts as a part of the python program. The basic functionality of this package is to send data from Python to MATLAB's workspace to be able to run Matlab function on the data. After processing you retrieve back data to... -
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Electromagnetic cloaking
This Matlab code simulates the electromagnetic cloaking
This Matlab code with the finite element method based Partial Differential Equation Toolbox calculates and simulates the electromagnetic field, when a scatterer (copper) object is cloaked with transformation optics designed metamaterial. This electromagnetic cloaking effect can be studied and demonstrated with this program. The code includes two source type (finite length line source and point source), and two sets of metamaterial parameters (exact and reduced metamaterial parameters). ... -
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Face recognition using BPNN. Contains 1.Face recognition using Back propagation neural network (customize code) code using matlab. 2. Face recognition using Back propagation network (builtin) code using matlab.Project closed for now,Adeel Raza Azeemi
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Projeny (Probablistic Networks Generator in Java) is a graphical (Java SWT) front-end to BNT (Bayes Net Toolbox for Matlab). Projeny requires BNT, JMatLink and a Matlab back-end. There is no installable release package, but source code is available on SVN - please check out from SVN to use Projeny. Projeny was started with BNJ as the base.
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neuro fuzzy net: 1. Object oriented Programming! 2. matlab project with back propagation, and hibrid learning. 3. Can use to MLP or ANFIS Sugeno modelling. 4. Integrated with Simulink (Sfunction M) by any questions mail me : tsepkovsky@yandex.ru
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Mental is a neural network engine implemented in pure Python. Design goals are easy-to-read source code, completeness, and ease of use. Presently implements feed-forward, back-propagation networks. Intended primarily for instructional use.
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