IMPLEMENTING RESIDUAL CONNECTION IN A CELLULAR NEURAL NETWORK ARCHITECTURE
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United States of America Patent
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Sep 17, 2020
app pub date -
Mar 14, 2019
filing date -
Mar 14, 2019
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Abstract
A cellular neural network architecture may include a processor and an embedded cellular neural network (CeNN) executable in an artificial intelligence (AI) integrated circuit and configured to perform certain AI functions. The CeNN may include multiple convolution layers, such as first, second, and third layers, each layer having multiple binary weights. In some examples, a method may configure the multiple layers in the CeNN to produce a residual connection. In configuring the second and third layers, the method may use an identity matrix.
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