PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first ...
Aspire 13 adds official, first-class Python support so distributed apps can orchestrate Python services natively alongside ...
Abstract: This article presents a method for the localization of a time-harmonic source in a cavity with magnitude-only measurements using the principle of backpropagation in electromagnetic time ...
IISc Bangalore Deep Learning Course 2025: The Indian Institute of Science (IISc), Bengaluru, in collaboration with SWAYAM, is offering a free online course on Deep Learning, and registrations are ...
VFF-Net introduces three new methodologies: label-wise noise labelling (LWNL), cosine similarity-based contrastive loss (CSCL), and layer grouping (LG), addressing the challenges of applying a forward ...
With wars, pandemics, and political upheavals reshaping global finance, traditional models fall short. NEAT offers resilience in a world where adaptation is the only survival strategy A World Where ...
Abstract: Computing matrix gradient has become a key aspect in modern signal processing/machine learning, with the recent use of matrix neural networks requiring matrix backpropagation. In this field, ...
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Backpropagation Through Time — How RNN Really Learn
In this video, we will understand Backpropagation in RNN. It is also called Backpropagation through time, as here we are backpropagating through time. Understanding Backpropagation in RNN helps us to ...
Backpropagation in CNN is one of the very difficult concept to understand. And I have seen very few people actually producing content on this topic. So here in this video, we will understand ...
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 ...
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