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 ...
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 ...
But what if, instead of collecting all possible data from a sensor, we could be more selective, collecting just enough data to accurately identify whatever we’re looking for? Th ...
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 ...
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 ...
Different approaches have been investigated including mapping functions with parametric estimation and neural networks. Here, the measurements from those surface flow sensors are collectively treated ...