In this paper, we describe two training algorithms -Gradient Descent and Probabilistic Random Weight Change, which are used in LCNN on-chip training simulations ...
The LCNN has been implemented in an analogue chip with 6 inputs, one output and 8 clusters [4] that can be trained by the chip-in-the-loop training scheme [9].
Two training algorithms -Gradient Descent and Probabilistic Random Weight Change, which are used in LCNN on-chip training simulations are described and the ...
This paper describes the structure, training and computational abilities of the local cluster (LC) artificial neural net architecture.
The LCNN chip can be trained by chip-in-the-loop training and this training method has been demonstrated to work efficiently. In order to increase the ...
In this paper we present the results of neural network hardware in-the-loop training for an analogue Local Cluster Neural Network (LCNN) chip.
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In this article we discuss the main design issues for the analog neural network paying special attention to train a network on a real chip. This article has the ...
Oct 22, 2024 · In this paper, we propose an efficient and flexible neural network training processor for fully connected layers. Our proposed training ...
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Mar 15, 2024 · We show that learning of a suitable cognitive map of the problem space suffices. Furthermore, this can be reduced to learning to predict the next observation.