In this lecture, we understand how a Single Neuron learning model works. We then implement the Neuron learning model in Python and run a forward and backward pass through the neuron.
In the next lecture, we train the Neuron for a regression problem.
This series is taught by Dr Anil Variyar, who has a PhD in Aeronautics and Astronautics from Stanford University.
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