Machine learning, neural network project in Matlab and R

Use a neural net or a convolutional neural net. Input data is 2000 real numbers each between -10 and 10. The output is 100 real number between -1 and 1. There are 30000 examples. Some need to be used as training data and some as test data in the development of the topology and weights of the network. I would like the response of the network to be within 1% of the training and test examples. I have some more test data to test the resulting neural net - do ensure that it has not been over-fitted to the dataset. The solution needs to include performance stats, final topology and weights, and also Matlab or R or (at a push) Python code of the network etc, so that I can rerun all code in order to validate all claims etc. I need somebody who is thorough and skillful.

Skills: Machine Learning, Matlab and Mathematica, Python, Statistics

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( 3 reviews ) Stanford le Hope, United Kingdom

Project ID: #17157006

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