An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
Abstract: The manual diagnosis of diabetic retinopathy (DR) is often invasive, time-consuming, expensive, and prone to human error. Additionally, it can be subjective ...
Results: We evaluated the performance of the models by comparing predicted sentiments (either positive or negative) with the labels judged by human evaluators in terms of the aforementioned 3 aspects.
Abstract: Currently, existing garbage image classification models predominantly operate on low-end devices and encounter significant challenges, including limitations in computing resources, storage ...
Operating System: Ubuntu 20.04 Python Version: 3.8 GPU: 1x NVIDIA RTX 3090 with CUDA version 12.2 ...
What happens when you combine an Arduino-based microcontroller with a palm-sized aluminum box and clicky buttons? A fidget ...
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Neural network Python from scratch with softmax
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
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