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A single sigmoid neuron is being trained using the gradient descent. The neuron takes two...

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A single sigmoid neuron is being trained using the gradient descent. The neuron takes two inputs (x1,x2). The training data and loss function is given below with initial parameters. Find the total loss and the total gradients of loss w. r.t. parameters after one iteration. Answer in 3 decimal points with all details and calculations. Screenshot or cut and paste from any tool or web will not be accepted. [6 Marks] Loss=ln(cosh(y^y)) A single sigmoid neuron is being trained using the gradient descent. The neuron takes two inputs (x1,x2). The training data and loss function is given below with initial parameters. Find the total loss and the total gradients of loss w. r.t. parameters after one iteration. Answer in 3 decimal points with all details and calculations. Screenshot or cut and paste from any tool or web will not be accepted. [6 Marks] Loss=ln(cosh(y^y))

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