Flattening and the Full Connection Operation
Explore the flattening process that converts pooled feature maps into vectors, and the full connection operation where these vectors feed into neural network layers. Learn how these steps enable CNNs to classify images effectively, a crucial part of building projects like COVID-19 detection systems.
We'll cover the following...
We'll cover the following...
What is “flattening”?
This is a very simple step. After finishing the previous steps, we obtain a pooled feature map. As the name of this step implies, we are basically going to flatten the pooled feature map into a column vector as shown below.
Explanation:
- Take a look at the pooled feature map. This was the matrix that we obtained after applying the
max poolingoperation. - We are essentially converting this matrix to a single column vector. We are simply taking one row at a time and appending it