Fully Connected Layer: The brute force layer of a Machine Learning model

Fully Connected layers in a neural networks are those layers where all the inputs from one layer are connected to every activation unit of the next layer. In most popular machine learning models, the last few layers are full connected layers which compiles the data extracted by previous layers to form the final output. It is the second most time consuming layer second to Convolution Layer.

Read this article to understand Fully Connected layer in depth

Have a doubt or thought? Join the discussion now

This is a companion discussion topic for the original entry at http://iq.opengenus.org/fully-connected-layer/