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Consider a Multi - Layer Perceptron ( MLP ) model with one hidden layer and one output layer. The hidden layer has 1 0 neurons,

Consider a Multi-Layer Perceptron (MLP) model with one hidden layer and one output layer. The hidden layer has 10 neurons, and the output layer has 3 neurons. The input to the MLP is a 5-dimensional vector. Each neuron is connected to every neuron in the previous layer, and a bias term is included for each neuron. The activation function used is the sigmoid function.
Calculate the total number of trainable parameters in this MLP model.

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