Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

Convolutional neural networks

Inspired from the animal visual cortex, a convolutional neural network (CNN) is primarily used for, and is the de facto standard for, image processing. The core concept of the convolutional layer is the presence of kernels (or filters) that learn to differentiate between the features of an image. A kernel is usually a much shorter matrix than the image matrix and is passed over the entire image in a sliding-window fashion, producing a dot product of the kernel with the corresponding slice of matrix from the image to be processed. The dot product allows the program to identify the features in the image. 

Consider the following image vector:

[[10, 10, 10, 0, 0, 0], [10, 10, 10, 0, 0, 0], [10, 10, 10, 0, 0, 0], ...