Machine Learning, Probability, Statistics, Data Science, Deep Learning.
below neural network for this task. The input layer is a flattened vector of the size of the input image(28*28=784).It is passed to a layer, where the input vector is multiplied by the weights and added with the bias vector. This layer has 10 neurons. This is the implication that there are 10