Here are our picks for the top 10 edge AI chips with a bright future across applications from vision processing to handling multimodal LLMs.
Machine learning careers offer strong salary growth across Indian industriesReal projects and deployment skills matter more ...
This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.
Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...
1 Unité de Recherche d’Automatique et d’Informatique Appliquée (UR-AIA), IUT of Bandjoun, University of Dschang, Dschang, Cameroun. 2 Unité de Recherche de Matière Condensée d’Electronique et de ...
According to Andrew Ng (@AndrewYNg), DeepLearning.AI has launched the PyTorch for Deep Learning Professional Certificate taught by Laurence Moroney (@lmoroney). This three-course program covers core ...
A public API for HNG Stage 1 task that classifies a given number by identifying its mathematical properties (prime, perfect, Armstrong, parity, digit sum) and retrieves a fun fact using the Numbers ...
A complete, straightforward digit classification project built with PyTorch, featuring CNN-based training, evaluation metrics, confusion matrix visualization, and XAI using Grad-CAM. A Simple MNIST ...
Abstract: This work explores the integration of quantum computing within a classical Convolutional Neural Network (CNN) framework, leveraging a VGG16 model enhanced with a quantum Convolutional Neural ...
A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...
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