This project leverages deep learning to identify crop diseases from images. Built with TensorFlow, the app allows users to upload crop images and predicts the disease. It features a user-friendly ...

The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of ...

The Coursera Deep Learning Specialization by deeplearning.ai offers notes, assignments, and quizzes for courses like Neural Networks, Hyperparameter Tuning, ML Projects, and CNNs.

Convolutional neural networks (CNNs), which automatically learn features from raw data to approximate functions, are being increasingly applied to the end-to-end analysis of electroencephalographic ...

Neural networks have revolutionized the fields of artificial intelligence (AI) and machine learning by providing a flexible, and scalable, means to solve complex, and traditionall ...

AI is transforming climate science and energy management by enhancing predictive modeling, optimizing renewable energy ...

A Generative Adversarial Network (GAN) is a type of machine learning model that’s used to generate fake data that resembles ...

(NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, have developed a quantum algorithm technology for deep convolutional neural network (CNN) exchange submissions, aimed at ...

In light of this, we have developed a recognition model for UAV using a dual-channel multi-scale convolutional neural network (CNN). This model initially enhances UAV recognition accuracy by ...

Government subsidizes high-end computing for AI research, benefiting academia and corporate teams, aiming to democratize ...