A Neural Network that is comprised of several:
- Convoluted Layer Often better used for models working with images.
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