BEAT - tutorial/mlp/1

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Container for a Neural Netwotk [NN].

This container stores:

input_subtract: Offset normalization parameter (the input data will be subtracted by this vector).
input_divide: Scaling normalization parameter (the input data will be divided by this vector).
weights: The weights of the Neural Network.
biases: The biases of the Neural Network.

[NN]	http://en.wikipedia.org/wiki/Artificial_neural_network

Algorithms 5

Privacy:

Updated	Name	Actions
Sept. 3, 2015	tutorial/mlp_training/3 (Implements multi-layer perceptron (MLP) training)	0
Nov. 6, 2014	tutorial/mlp_scoring/3 (Multi-Layer Perceptron (MLP)-based scoring)	1
Sept. 6, 2014	tutorial/mlp_training/2 (R-prop training for Multi-Layer Perceptron (MLP))	1
Aug. 28, 2014	tutorial/mlp_scoring/1	0
Aug. 28, 2014	tutorial/mlp_training/1	0

dataformats tutorial mlp 1

Algorithms 5

dataformats

tutorial

mlp

1