Introduction To Neural Networks
Goal of Network
Have an input that is going to be mapped to an output
eg. Input: X1, X2 -> Dog, Cat (Two Neurons)
How do we achieve this goal?
Neural Network Overview
Through hidden layers with neurons
Each input will map to each neuron in hidden layer
Connection between input and neuron have its own unique weight
One hidden layer between input and output is linear relationship (not complex enough for most cases)
Neurons
Summed together
If summation meets certain condition, neuron is fired/activated (spike in segway function - returns value between 0-1)
Each neuron output will be a segway function between 0-1 (entire layer will add up to 1)
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