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A temporal convolutional network (TCN) with 2 hidden layers and a convolutional kernel size of 2. The number of connections exponentially increases as hidden layers are added, enabling a wide receptive field. Notice the output of a TCN is the same length as the input. Balrog’s TCN used 8 hidden layers, a convolutional kernel size of 8, a dilation factor of 2, and 32 * L hidden units per layer where L is the length of the amino-acid sequence.
