The Coursera Deep Learning Specialization by deeplearning.ai offers notes, assignments, and quizzes for courses like Neural Networks, Hyperparameter Tuning, ML Projects, and CNNs.
This project aims to build a convolutional neural network from scratch to automatically classify traffic signs into predefined categories and deploy the model using Streamlit. The model successfully ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, have developed a quantum algorithm technology for deep convolutional neural network (CNN) exchange ...
Researchers have designed a CNN model that analyzes vibration data for precise detection of beam damage, highlighting advancements in structural health monitoring.
Abstract: Effective detection and classification of forest fire imagery are critical for timely and efficient wildfire management. Convolutional Neural Networks (CNNs) have demonstrated potential in ...
DO trends have complex nonlinear characteristics. Therefore, the accurate prediction of DO is challenging. On this basis, a two-dimensional data-driven convolutional neural network model (2DD-CNN) is ...