Convolutional neural network processor for edge calculation
A convolutional neural network and edge computing technology, applied in biological neural network models, neural architecture, physical implementation, etc., can solve problems such as insufficient bandwidth, fatal delay, poor real-time performance, etc., to improve resource utilization, reduce access times, The effect of increasing reusability
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[0035] A convolutional neural network processor oriented to edge computing of the present invention will be described in detail below with reference to embodiments and drawings.
[0036] An edge computing-oriented convolutional neural network processor of the present invention, in this architecture, 1) proposes a simple instruction set architecture, which includes common computing modes in convolutional neural networks: convolutional computing, pooling Operation, full connection calculation, activation function, complete convolutional neural network operation through multiple instructions. 2) Design a systolic computing array that supports convolutional layer computing and fully connected layer computing at the same time. 3) Design the pooling calculation unit and complete the calculation of the pooling layer. 4) Design the activation function calculation unit to complete the activation function calculation in the convolutional neural network.
[0037] Such as figure 1 As s...
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