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This project is available as a student work experience opportunity with HPCC Systems. Curious about other projects we are offering? Take a look at our Ideas List.

Student work experience opportunities also exist for students who want to suggest their own project idea. Project suggestions must be relevant to HPCC Systems and of benefit to our open source community. 

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Project Description

Neural Networks have become a key mechanism for the analysis of many types of data.  In particular they have been found to be very effective for the analysis of complex datasets such as images, video, and time-series, where classical methods have proven inadequate. The Generalized Neural Network Bundle (GNN) allows the ECL programmer to combine the parallel processing power of HPCC Systems with the powerful Neural Network capabilities of Keras and Tensorflow. The GNN bundle attaches each node in the HPCC Systems cluster to an independent Keras/Tensorflow environment and coordinates among those environments to provide a distributed environment that can parallelize all phases of Keras/Tensorflow usage. Most importantly, this coordination is transparent to the GNN user, who can program as if running on a single node.

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