M0771

K M0771 is a custom built layer in the Microsoft Cognitive Toolkit (CNTK). It is an elementwise convolutional layer that utilizes a 3x3 convolution kernel over the 4D feature map. The kernel follows the same pattern, but varies according to the input and output channel sizes. With M0771, CNTK can be used to produce more accurate and efficient deep learning models that require fewer training iterations to reach their optimal performance. It also allows users to apply multiple different convolutional filters to achieve different objectives, such as increasing the accuracy or improving the speed at which objects are detected.