This is the Linux app named Mocha.jl whose latest release can be downloaded as Mocha.jlv0.3.1sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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Mocha.jl
DESCRIPTION
Mocha.jl is a deep learning framework for Julia, inspired by the C++ Caffe framework. It offers efficient implementations of gradient descent solvers and common neural network layers, supports optional unsupervised pre-training, and allows switching to a GPU backend for accelerated performance.
Features
- Built-in Julia deep learning framework inspired by Caffe
- Efficient implementations of stochastic gradient solvers and standard neural network layers
- Native Julia implementation with simple installation and minimal dependencies
- Optional GPU backend leveraging NVIDIA libraries (cuBLAS, cuDNN)
- Switchable between CPU and GPU modes via minimal code changes
- Supports unsupervised pre-training architectures like stacked auto-encoders
Programming Language
Julia
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/mocha-jl.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
