HCRCaaS: A Handwritten Character Recognition Container as a Service Based on QoS Guarantee Algorithm
Table 1
Structure, recognition accuracy, and hyperparameter settings of three proposed DCNN-based models and other comparison models: each proposed DCNN-based model contains 1 input layer, multiconvolutional layers, multimax pooling layers, and 1 fully connected layer.
Settings for input layer (“Input”) are given in rows, which present size of input picture (“size × size”). Settings for each convolutional layer (“Conv”) are given in rows, which show number of output feature maps and receptive field size (“numCsize × size”). Settings of max pooling (MP) are specified by type and kernel size (“Mpsize × size”). Settings of fully connected (FC) are specified by dimensionality (“FCdimensionality”).