We dive into Transformers in Deep Learning, a revolutionary architecture that powers today's cutting-edge models like GPT and BERT. We’ll break down the core concepts behind attention mechanisms, self ...
ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...
ABSTRACT: Building on the Three-Level Theory of Cognition, this paper examines the architecture and foundational principles of deep learning in order to clarify its specific cognitive mechanisms and ...
This repo contains all my work for this specialization. All the code base, quiz questions, screenshot, and images, are taken from, unless specified, Deep Learning Specialization on Coursera. As a CS ...
Abstract: Course recommendations on online platforms are full of uncertainty and ambiguities due to the involvement of several uncertain factors. The primary goal of this study is to investigate an ...
Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we want these technologies to serve society responsibly, tomorrow’s citizens need ...
From coding to hardware, LLMs are speeding up research progress in artificial intelligence. It could be the most important trend in AI today. Last week, Mark Zuckerberg declared that Meta is aiming to ...
Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
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