Neural Net Explanation
- Neurons arranged in layers
- Each Neuron has a weight (significance)
- ML is first used to find the weights
- Neuron evaluates numerical function
- Input is fed and neurons at each layer evaluate and feeds results to next layer
- End result is reached
- Neurons arranged in layers
- Each Neuron has a weight (significance)
- ML is first used to find the weights
- Neuron evaluates numerical function
- Input is fed and neurons at each layer evaluate and feeds results to next layer
- End result is reached
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