Construction of DL Model

Construction of Deep Learning model. Vaxi-Deep Learning model consists of four layers namely, an input layer, hidden layers, and an output layer. A single hidden layer consists of a 1x fully connected layer, leaky ReLU activation function, and a batch normalization layer. The output layer consists of 2 units along with a softmax activation function and with constant bias initialization calculated using Log. Adam optimizer which was used with exponential learning rate decay and categorical cross-entropy loss.