Technology of implementation of neural network algorithm in CUDA environment at the example of handwritten digits recognition

On a convolution neural network example features of implementation of pattern recognition algorithm on Graphic Processing Unit (GPU) on NVIDIA CUDA are shown. Duration of training of a network on the video adapter is reduced in 5.96, and recognition of test samples set in 8.76 times in comparison with the optimised algorithm which uses only central processor (CPU) for calculations. Perspective of implementation of such neural network algorithms on graphic processors is shown.