Archives for Bayesian Neural Network
traditional MMS are not much eligible to equip the hard data with prior knowledge. The simple models are defined with the parameters which are independent of each other. Bayesian MMMs can be eligible to deal with such hard data.
traditional MMS are not much eligible to equip the hard data with prior knowledge. The simple models are defined with the parameters which are independent of each other. Bayesian MMMs can be eligible to deal with such hard data.
Consider an example where you are trying to classify a car and a bike. If an image of a truck is shown to the network, it ideally should not predict anything. But, because of the softmax function, it assigns a high probability to one of the classes and the network wrongly, though confidently predicts it to be a car. In order to avoid this, we use the Bayesian Neural Network (BNN).
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