Nonlocal algorithm for smoothing of images1 year, 10 months ago
Under a cat there are a lot of pictures, is accurater with traffic.
"The essence and purpose of the machine will change from what information we will enclose in it. The machine will be able to write music, to draw pictures and will show to science such ways which we never and anywhere saw." Ada Lovelace
import numpy as np X = np.array([ [0,0,1],[0,1,1],[1,0,1],[1,1,1] ]) y = np.array([[0,1,1,0]]).T alpha,hidden_dim = (0.5,4) synapse_0 = 2*np.random.random((3,hidden_dim)) - 1 synapse_1 = 2*np.random.random((hidden_dim,1)) - 1 for j in xrange(60000): layer_1 = 1/(1+np.exp(-(np.dot(X,synapse_0)))) layer_2 = 1/(1+np.exp(-(np.dot(layer_1,synapse_1)))) layer_2_delta = (layer_2 - y)*(layer_2*(1-layer_2)) layer_1_delta = layer_2_delta.dot(synapse_1.T) * (layer_1 * (1-layer_1)) synapse_1 -= (alpha * layer_1.T.dot(layer_2_delta)) synapse_0 -= (alpha * X.T.dot(layer_1_delta))