Question

What is the difference between densely connected and fully connected in deep leanring

Answer 1

Answer:

A densely connected layer provides learning features from all the combinations of the features of the previous layer, whereas a convolutional layer relies on consistent features with a small repetitive field.

Answer 2

Answer:

1. densely connected and disconnected fully in deep learning by charts that can be created using chart facility to learn the first two types of graphic illustrations