Showing 27 open source projects for "ofn3-export-layers"

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    ConvNetJS

    ConvNetJS

    Deep learning in Javascript to train convolutional neural networks

    ...No software requirements, no compilers, no installations, no GPUs, no sweat. ConvNetJS is an implementation of Neural networks, together with nice browser-based demos. It currently supports common Neural Network modules (fully connected layers, non-linearities), classification (SVM/Softmax) and Regression (L2) cost functions, ability to specify and train Convolutional Networks that process images, and experimental Reinforcement Learning modules, based on Deep Q Learning. The library allows you to formulate and solve Neural Networks in Javascript. If you would like to add features to the library, you will have to change the code in src/ and then compile the library into the build/ directory. ...
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  • 2

    openhealthpractice

    A simulation environment for physiology models simulation

    The OpenHealhPractice Simulation Environment is a web framework intended to concurrently manage and launch generalized models. Models can be uploaded by the users and also can be connected to other models in order to simulate them in a row. These simulations are stored and can be reviewed or deleted at anytime. The Graphical Visualization Environment (GVE) provides the graphical visualization of the simulation results. Results can also be exported to different formats (xls, txt or...
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