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ann.jl's Introduction

julia-ann

Implementation of backpropagation artificial neural networks in Julia.

Install (from within Julia interpreter):

Pkg.clone("[email protected]:EricChiang/ANN.jl.git")

Usage:

using ANN

n_hidden_units = 20

ann = ArtificialNeuralNetwork(n_hidden_units)

n_obs = 150
n_feats = 80

X = rand(Float64, n_obs, n_feats)
y = rand(Int64, n_obs)

fit!(ann, X, y)

n_new_obs = 60
X_new = rand(Float64, n_new_obs, n_feats)

y_pred = predict(ann, X_new)

TODO:

  • Allow users to build multilayer networks
  • Accept DataFrames as inputs. fit! and predict currently require Float64 matrices and vectors.

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