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Artificial Neural Networks (ANNs)

Turing Test

A machine is intelligent if we cannot distinguish its behaviour from a living creature's.


Key characterstics of ANN

Activation Function

Different Activations Functions

Network Topology

determines how the neural network is able to learn.

Characterstics of Network Topology

No of layers in the network

Direction of information flow


No of nodes in each layer

Training with Backpropagation

Backpropagation strategy

learning rate in gradient descent

Pros of ANN

Cons of ANN

coding for ANN