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SOLVED: Design a neural network with 2 input features, 1 hidden layer with 3 neurons, and 1 output neuron. For this network, the input values of the dataset are given as 1.5 and 2.8, resulting in an output of 1.In the designed architecture, with a learning rate of 0.7, sigmoid activation function, and all weight values (wi) initially set to 0.5. The bias value for the hidden layer with 3 neurons is 0.8, while there is no bias in the output layer.Using backpropagation and the mean squared error f
SOLVED: Design a neural network with 2 input features, 1 hidden lay…
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