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Semiconductor Engineering4d
Accelerator Architecture For In-Memory Computation of CNN Inferences Using Racetrack Memory
A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN ...
Wired26d
A Deep Learning Alternative Can Help AI Agents Gameplay the Real World
A Deep Learning Alternative Can Help AI Agents Gameplay the Real World A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.
Hosted on MSN2mon
What is Recurrent Neural Network in Deep Learning¿ ¦ RNN - MSN
Whether it’s personal development, professional growth, or practical tips, Jay’s got you covered. Start learning today and level up your life! #LearnWithJay #SkillBuilding #PersonalDevelopment ...
IEEE8mon
CNN-RNN and Data Augmentation Using Deep Convolutional Generative Adversarial Network for Environmental Sound Classification - IEEE Xplore
Deep neural networks in deep learning have been widely demonstrated to have higher accuracy and distinct advantages over traditional machine learning methods in extracting data features. While ...
marktechpost1y
Deep Learning Architectures From CNN, RNN, GAN, and Transformers To Encoder-Decoder Architectures - MarkTechPost
Deep learning architectures have revolutionized the field of artificial intelligence, offering innovative solutions for complex problems across various domains, including computer vision, natural ...
Oil1y
Stacked deep learning models predict cogeneration unit gas emissions - Oil & Gas Journal
The shift towards AI-powered predictive emissions monitoring systems is seen as the future of gas emission monitoring. PEMS Build Workflow. Fig. 1. The shift towards AI-powered predictive ...
SciELO2y
Application of machine learning for crack detection on concrete structures using CNN architecture - SciELO - Brasil
2. LITERATURE REVIEW The studies on the convolutional networks in detecting cracks in concrete structures and monitoring the concrete structural health are primarily focused. Models that use CNN ...
Frontiers2y
Fault diagnosis of a mixed-flow pump under cavitation condition based on deep learning techniques - Frontiers
2.2 Long short term memory network Long short term memory network is developed based on Recurrent Neural Network (RNN), and it improve on the long-term information dependence of RNN. LSTM network is ...
IEEE2y
CNN, RNN, or ViT? An Evaluation of Different Deep Learning Architectures for Spatio-Temporal Representation of Sentinel Time Series - IEEE Xplore
Rich information in multitemporal satellite images can facilitate pixel-level land cover classification. However, what is the most suitable deep learning architecture for high-dimension ...