A machine learning-powered backend for real-time facial detection and recognition, using Convolutional Neural Networks (CNN). This repository focuses on training, learning, and prediction processes ...

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...

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 ...

Additionally, our method enables data embedding in different layers of neural networks, including linear layers, convolutional layers, and transpose convolutional layers. In cover networks, the hidden ...

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 ...

DLSS—or Deep Learning Super Sampling, to give it its full title—is Nvidia's upscaling technology used to deliver higher frame ...

Study highlights the potential of advanced CNNs for automated seizure detection in neonates, improving outcomes and reducing ...

Tim Keary is a technology writer and reporter covering AI, cybersecurity, and enterprise technology. Before joining Techopedia full-time in 2023, his work appeared on VentureBeat,… A deep neural ...

提起“CNN”，可能很多朋友首先都会联想到“Cable News Network”，这是一家知名度很高的美国电视台。但是在人工智能领域，“CNN”与这家电视台无关，它是另外三个单词的缩写：Convolutional Neural ...

Morphological profiling allows accurate identification of cell types in dense iPSC-derived cultures, allowing its use for quality control and differentiation monitoring.