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A neural network with two inputs and a single output, with a hidden layer in-between allowing the model to make more complex predictions. Each of these layers are connected together with, initially, completely random weights. The neural network, with random weights and biases defined. And we’ll use a ReLU activation function on our hidden layer.
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