Introduction - If you have any usage issues, please Google them yourself
Boy wrote on Neural PCA image compression and decompression of the source image after training, can make use of the characteristics of images (eigenvalue and eigenvetex) to other copies of illustrated compression, a very interesting way, and then set when threashold attention values not too large, because it involves the calculation of inverse matrex.