RECOGNITION OF UZBEK HANDWRITTEN TEXTS BY SELECTION OF ACTIVATION FUNCTIONS FOR CONVOLUTIONAL NEURAL NETWORK

Activation functions are important in each neural network. This article highlights the advantages and disadvantages of activation functions in convolutional neural network recognition of handwritten text images. A comparative analysis is presented based on the remaining neural network models through selected activation functions. 95 percent recognition efficiency was achieved through the organized convolutional neural network.