import cv2
import numpy as np

c = 214750

trainX = np.zeros((c, 2500), dtype=np.float32)
trainY = np.zeros((c, 73), dtype=np.float32)

input_layer = trainX.shape[1]
hidden_layer = 300
output_layer = trainY.shape[1]

nn_config = np.array((input_layer, hidden_layer, output_layer))

print nn_config
print trainX.shape, trainX.dtype, trainY.shape, trainY.dtype

weight = float(1) / trainY.shape[0]
sampleWeights = np.ones((trainY.shape[0], 1), dtype=np.float32)

print weight, sampleWeights.shape

ann = cv2.ANN_MLP()
ann.create(nn_config, cv2.ANN_MLP_SIGMOID_SYM)

ann.train(inputs=trainX, outputs=trainY, sampleWeights=sampleWeights)