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Follow Signals through a Simple Network

Explore how signals move through a simplified neural network with two layers and two neurons each. Understand the role of weights and the sigmoid activation function in transforming input signals into outputs. This lesson helps you grasp fundamental neural network mechanics.

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How a neural network works

A network with three layers of neurons, with each neuron connected to every other in the previous and next layer, looks pretty amazing. But the idea of calculating how signals progress from the inputs through the layers to become the outputs may seem a little daunting.

We agree that it is hard work, but it is also important to illustrate how a neural network works so we always know ...