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Found 4 papers, 1 papers with code
Accelerating Neural Network Training: A Brief Review
This study examines innovative approaches to expedite the training process of deep neural networks (DNN), with specific emphasis on three state-of-the-art models such as ResNet50, Vision Transformer (ViT), and EfficientNet.
Quantum Generative Adversarial Networks: Bridging Classical and Quantum Realms
In this pioneering research paper, we present a groundbreaking exploration into the synergistic fusion of classical and quantum computing paradigms within the realm of Generative Adversarial Networks (GANs).
EmbAu: A Novel Technique to Embed Audio Data Using Shuffled Frog Leaping Algorithm
In our currently proposed image steganographic technique, we used the Shuffled Frog Leaping Algorithm (SFLA) to determine the order of pixels by which sensitive information can be placed in the cover image.
Several categories of Large Language Models (LLMs): A Short Survey
Large Language Models(LLMs)have become effective tools for natural language processing and have been used in many different fields.
