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Nuromorphic devices are powerful information processing systems and realize low power consumption. We proposed cellular neural networks with polycrystalline-silicon (Poly-Si) thin film transistors (TFTs). The neuron element consists of eight TFTs and the synapse element of only one TFT. We actually succeeded in confirming the operation of learning of logics. In this presentation, we succeeded the operation verification of letter recognition by the cellular neural network.