self adapting activation function Implementation of parameterized soft-exponential activation function. In this implementation, the parameters are the same for all neurons initially starting with ...
self adapting activation function Implementation of parameterized soft-exponential activation function. In this implementation, the parameters are the same for all neurons initially starting with ...
Data from an experiment may result in a graph indicating exponential growth. This implies the formula of this growth is \(y = k{x^n}\), where \(k\) and \(n\) are constants. Using logarithms, we can ...
Abstract: High performance implementations of unary functions are important in many applications e.g. in the wireless communication area. This paper shows the development and VLSI implementation of ...
Abstract: This article introduces the logarithmic quantization computing-in-memory processor (LOG-CIM), an advanced processor that extends the capabilities of conventional linear quantization (INT) by ...
The least-squares regression comparison of linear, exponential, logarithmic, and power functions for 13 diverse profiles demonstrated that: (1) a standard method of plotting profiles from source to ...