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This function defines a simple neural network using Theano library for linear transformations and ReLU activation, then predicts the output.
Technology Stack : Theano, NumPy
Code Type : Custom function
Code Difficulty : Intermediate
import theano
import numpy as np
def neural_network_predict(input_data):
# Define a neural network with Theano
input = theano.tensor.fvector('input')
hidden = theano.tensor.nnet.relu(input.dot(2) + 1) # Linear transformation and ReLU activation
output = hidden.dot(3) + 1 # Linear transformation and bias
# Compile a function to predict the output
predict_fn = theano.function([input], output)
# Use the function to predict the output for a given input
result = predict_fn(input_data)
return result
# Code information