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Neural Networks (Activation Functions (Step step, Sign sign, Sigmoid…
Neural Networks
Activation Functions
Step
Sign
Sigmoid
Types of ANN
Feed forward networks
Feedback networks
Backpropagation network
Basics Concept behind neural nets
Neural nets can learn on their own
Neural nets can adapt to changing conditions
Anology between Brain and Artificial Neural network
Biological NN
Soma
Dendrites
Axon
Synapse
Artificial NN(ANN)
Neuron
Input
Output
Weight
Learning in NN
Supervised learning used to predict a specify entity
Unsupervised learning to look for unusual pattern
Multilayer NN
Hidden Layer
New method of information processing
Good pat performing pattern recognition and data classification
Good at solving problems
