L 3. Artificial neural network (ANN) is a biologically motivated learning model. Constituent building blocks are...

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L 3. Artificial neural network (ANN) is a biologically motivated learning model. Constituent building blocks are neurons that uses an activation function over weighted summation of input. Choice of activation functions for hidden and output layers is one of the crucial decision need to be taken. This is because the backpropagated error needed for training the model strongly depends on the gradient of the activation function. Provide derivation for the backpropagation rules for an ANN that uses hyperbolic tangent activation. L 3. Artificial neural network (ANN) is a biologically motivated learning model. Constituent building blocks are neurons that uses an activation function over weighted summation of input. Choice of activation functions for hidden and output layers is one of the crucial decision need to be taken. This is because the backpropagated error needed for training the model strongly depends on the gradient of the activation function. Provide derivation for the backpropagation rules for an ANN that uses hyperbolic tangent activation.

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