#StackBounty: #conv-neural-network Simple understanding of Convolutional Neutral Network

Bounty: 50

I want to ask a basic understanding of CNN.

Let say I have 1 dataset (100 pictures) with

  1. Class A (Picture of Cat: 40 pictures)
  2. Class B (Picture of Dog: 60 pictures)

And then, I input 100 pictures into CNN and run it.

My question is:

  1. What is the output should I look at?
  2. Is that mean if I input a picture (either Cat and Dog), I can know the picture (is cat or is a dog) by looking at the output?

Thank you.


Get this bounty!!!

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