Machine Learning, Deep Learning, Convolution Neural Net, Recurrent Neural Network.
figure below. Since convolutional networks capture a bounded receptive field (unlike BiLSTM) and computes features for all pixels at once, these pixels aren’t dependent on all previous pixels which is undesirable. The convolutional layers are unable to completely process the receptive fields thus