A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...
Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs through layers, calculating activations, and preparing data for ...
ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Abstract: A back propagation neural network prediction method is designed for the predictive control of joint angles in pneumatic artificial muscles in this paper, aimed at improving trajectory ...
AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling proactive system optimization and enhanced performance. The convergence of machine ...
ABSTRACT: Groundwater is an essential resource for rural dwellers in Burkina Faso, a country with limited surface water availability. However, localising and accessing groundwater is challenging. This ...
self.weight = np.asmatrix(rng.normal(0, 0.5, (self.units, back_units))) self.bias = np.asmatrix(rng.normal(0, 0.5, self.units)).T ...
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