Neural Network - Python - Simplest Multiple Neurons

nn_multiple_neurons.py

# Daniel J. Rodriguez
# https://github.com/danieljoserodriguez

# This Gist is for information purposes only to demonstrate how to perform the task at hand. 
# I do not advise using this in a production environment - rather - for learning on your own.

# simple multiple inputs neural network
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# just python - no extra libraries
def sum_weights(inputs, weights):
    # assume input and weight len is equal
    result = 0
    for index in range(len(inputs)):
        result += inputs[index] * weights[index]
    return result

neuron_weights = [0.1, 0.2, 0]
test_scores = [.99, .75]
hours_studied = [.5, .3]
hours_slept = [.7, .4]
sample_input = [test_scores[0], hours_studied[0], hours_slept[0]]
prediction = sum_weights(sample_input, neuron_weights)
print(prediction)
########################################################################
# same as above but using numpy
import numpy as np

neuron_weights = [0.1, 0.2, 0]
test_scores = [.99, .75]
hours_studied = [.5, .3]
hours_slept = [.7, .4]
sample_input = [test_scores[0], hours_studied[0], hours_slept[0]]
prediction = np.dot(sample_input, neuron_weights)
print(prediction)
########################################################################