By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...
Nobel Prize-winning computer scientist Geoffrey Hinton, known as the ‘godfather of artificial intelligence’, agrees with ...
According to Jeff Dean on Twitter, Geoffrey Hinton, often referred to as the 'Godfather of AI,' celebrates his birthday today. Hinton's pioneering research in neural networks and deep learning has ...
ABSTRACT: This paper proposes a unique approach to load forecasting using a fast convergent artificial neural network (ANN) and is driven by the critical need for power system planning. The Mazoon ...
Abstract: This manuscript details and extends the system identification methods leveraging the backpropagation (SIMBa) toolbox presented in previous work, which uses well-established machine learning ...
Natural neural systems have inspired innovations in machine learning and neuromorphic circuits designed for energy-efficient data processing. However, implementing the backpropagation algorithm, a ...
The aim of this paper is to carry out convergence analysis and algorithm implementation of a novel sample-wise backpropagation method for training a class of stochastic neural networks (SNNs). The ...
I am curious about how you came up with this idea. Before this, I considered using Gaussian blur and downsampling, but unfortunately, the parameters of these two methods do not support gradient ...
A new technical paper titled “Hardware implementation of backpropagation using progressive gradient descent for in situ training of multilayer neural networks” was published by researchers at ...
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