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Convolutional neural network and recurrent neural network layers. (A) Illustration of CNN model with the input layer (sequence) as one-hot encoded followed by a CNN layer followed by a global max pooling layer and output layer with a single node with sigmoid activation function. (B) Illustration of a RNN model with the input layer (sequence) as one-hot encoded followed by a concatenated bidirectional LSTM layer followed by an output layer with single node with sigmoid activation.
