Experimenting with TensorFlow. Video shows a neural network that takes UV-coordinates and learns to output a reference 3D-geometry. The output of the network is displayed after a certain amount of learning cycles (itr = iterations). The net contains 2 input, 1 outputs and 3 hidden layers (50-30-10 neurons). Activiation function is sigmoid.

















