Machine Learning, Deep Learning, Convolution Neural Net, Recurrent Neural Network.
processes the image row to row from top to bottom computing features of the whole row at once. It captures a fairly triangular region above the pixel. However it isn’t able to capture the entire available region. FIGURE 3 : input-to-state and state-to-state mapping for Row LSTM Diagonal BiLSTM