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Loss function A gradient-based optimization strategy to train a model  f ( x ) " data-ke-type="html">HTML 삽입미리보기할 수 없는 소스 using some loss function   l ( f ( x i ) , y i ) where ( x i , y i ) " data-ke-type="html">HTML 삽입미리보기할 수 없는 소스 are some input-output pair.  It is used to help the model determine how "wrong" it i..

Forward Propagation Input layer-->hidden layer-->activation function-->output layer --------------------------------------------------------------> in order The input data is fed in the forward direction through the network. Each hidden layer accepts the input data, processes it as per the activation function and passes to the successive layer. In order to generate output, the input data should ..