A Neural Network that is comprised of several:

Ideas

  • There is a input layer that takes in a given image, text, etc as a matrix of entries
  • There are several hidden layers (Convoluted Layer) that are used to find intermediate features
  • There is a output layer that categorizes the output of the model
  • Gradient Descent is used by Loss Function to calculate loss, used in Back Propagation to update weights and biases