Can any one explain how i can do this with c++???? Its an implementation of an artificial neuron in python.

Question

from numpy import exp, array, random, dot

class neural_network:
def __init__(self):
random.seed(1)
# We model a single neuron, with 3 inputs and 1 output and assign random weight.
self.weights = 2 * random.random((2, 1)) - 1

def train(self, inputs, outputs, num):
for iteration in range(num):
output = self.think(inputs)
error = outputs - output
adjustment = 0.01*dot(inputs.T, error)
self.weights += adjustment

def think(self, inputs):
return (dot(inputs, self.weights))

neural_network = neural_network()

# The training set
inputs = array([[2, 3], [1, 1], [5, 2], [12, 3]])
outputs = array([[10, 4, 14, 30]]).T

# Training the neural network using the training set.
neural_network.train(inputs, outputs, 10000)

# Ask the neural network the output
print(neural_network.think(array([15, 2])))

Answer 1

Please use the code for studying, I am sure you do so but also for those who views this post.
ps: I created this 3 months ago, if you have any question about code, feel free to send pm.

https://code.sololearn.com/cS2226l6JQw2/?ref=app

Answer 2

Thanks mustapha k