Browsing by Subject "Artificial Neural Network (ANNs)"
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Item Analog implementation of a current-mode Rectified Linear Unit (ReLU) for artificial neural networks(2019-05) Vuppala, Sai Srujana; Gharpurey, RanjitThis report explores the design of building blocks that can be employed in analog implementations of Artificial Neural Networks (ANNs) with on-chip learning capability. A circuit for a Rectified Linear Unit (ReLU) is proposed. The design employs current-mode inputs that are combined and applied to a tightly coupled active feedback loop that presents a low input resistance. The design also provides for simultaneous derivative evaluation. The basic operation is verified within a neural network implementation of a logic function. The impact of non-linearity of the ReLU cell is evaluated using a polynomial model within a neural network for MNIST digit recognition. As an extension, a discrete time design that allows for a fully differential implementation of an analog artificial neural network is proposed