Deep Learning CNN Convolutional Neural Networks with Python - Neuron and Perceptron

The video explains the concept of neurons as computational units in the brain, describing their inputs and outputs. It introduces the biological neuron model and its network, followed by the perceptron model as an approximation. The video details the process of weighted sum and activation functions, and discusses learning weights in neural networks for classification and regression tasks.

What challenges are associated with using step functions in neural networks?

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How do different activation functions affect the performance of a neural network?

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What are the parameters of a neural network model?

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In what ways can neural networks be applied beyond classification tasks?

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