Neural Network - Python - Simplest Multiple Neurons and Layers - Feed Forward

nn_multiple_neurons_and_layers.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

# multiple inputs and layers neural network
import numpy as np

# neuron layers
hidden_neuron_weights = np.array([0.1, 0.2, 0])  # 3 inputs, 3 outputs
output_neuron_weights = np.array([0.2, 0, 0.1])  # 3 inputs, 3 outputs
# output_neuron_weights = np.array([0.2, 0.1])  # 3 inputs, 2 outputs
# output_neuron_weights = np.array([0.2])  # 3 inputs, 1 output

# sample data
test_scores = [.99, .75]
hours_studied = [.5, .3]
hours_slept = [.7, .4]
sample_input = [test_scores[0], hours_studied[0], hours_slept[0]]

# feed forward prediction
hidden_prediction = np.dot(sample_input, hidden_neuron_weights)
output_prediction = np.dot(hidden_prediction, output_neuron_weights)
print(output_prediction)