Deep belief networksDeep neural netsApplication of algorithmsWireless Personal Communications - Deep learning is a wildly popular topic in machine learning and is structured as a series of nonlinear layers that learns various levels of data representations...doi...
Fig. 3: F1-score of five machine learning algorithms. The larger the value, the better the classification effect of the algorithm. Full size image Table11lists the hyperparameter settings for deep learning, and Fig.4illustrates the F1 scores of the three deep learning models. The results indic...
Deep learning algorithms have shown exceptional effectiveness in a wide range of supervised and unsupervised learning tasks in a variety of fields, including image processing, computer vision, natural language processing, and speech or voice processing. In this paper, a comprehensive analysis is conducte...
Deep learning algorithms have proved to be promising tools to tackle a variety of real-world problems, especially those that require the analysis of vast amounts of data. In contrast with other computational techniques, in fact, these algorithms can learn to make highly accurate predictions simply...
The chatbot goes beyond basic algorithms by incorporating the expertise of Levi’s stylists. It considers factors like leg shape, rise, and stretch to provide accurate suggestions. This helps customers navigate the vast array of options and find jeans that fit their needs and preferences, ultimately...
A set of continuous state-action space-based deep reinforcement learning algorithms are used for the path following of a ship in calm water and waves. The mathematical model of a KVLCC2 tanker represents the ship dynamics. The mathematical model includes the hull force, rudder force, propulsion...
the authors address common barriers in PAP smear analysis such as scant data and poor image quality. This framework featured ConvNeXtv2 and GRN-based MLP blocks and achieved 99.02% accuracy using the SIPaKMeD dataset. Another study21elucidates that an ensemble of machine learning algorithms such as...
‘target’ dataset. Different learning sources of different nature can be imagined that can be globally categorized asAlgorithmorAnnotation. As for theAlgorithmcategory, by employing traditional feature extraction or representation transformation algorithms, we will be able to automatically extract ...
Along those lines, Alizadeh and his team at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed "Pensieve," an artificial intelligence (AI) system that uses machine learning to pick different algorithms depending onnetworkconditions. In doing so, it has been shown ...
Deep learning has been applied to image recognition, speech recognition, video synthesis, and drug discoveries. In addition, it has been applied to complex creations, like self-driving cars, which use deep learning algorithms to identify obstacles and perfectly navigate around them. You must feed l...