Feed Forward Neural Networks (FFNN) Architecture
In this lecture we will see the plain vanilla application of neural networks in the feed forward architecture. We will take a look at the experiment sheet and a peek into what is coming in the next videos.
Feed forward
regular classification Makes identification of objects classes a lot better
You can find clarity for the below Questions
What is a feed forward neural network ?
How does a feed forward network do image classification ?
How is the input fed to a Feed forward neural Network ?
How does the output of a neural network look like?
What is a an activation function ?
Role of a activation function in a neural network ?
What are the activation functions for binary and multi class classification use cases?
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