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Detects 5 emotions (Angry, Happy, Natural, Sad, Surprised) from images/live camera with mAP50 of 0.731. Features a web interface with file uploads, real-time processing, & emoji feedback. Built with ...
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments ...
The experiments are conducted using two datasets, APTOS2019 and Messidor-2, which provide diverse retinal images for robust evaluation. The proposed model achieves high performance on diabetic ...
Field Of Deep Learning,Image Classification Tasks,Long-range Dependencies,Medical Image Analysis,Medical Imaging,Neural Network,Object Detection,Position Information,Spatial Information,Traditional ...
Learn With Jay on MSN23h
Image Classification using CNN Keras ¦ Full implementationWelcome to Learn with Jay – your go-to channel for mastering new skills and boosting your knowledge! Whether it’s personal ...
Learn With Jay on MSN1d
Neural Network python from scratch ¦ MultiClass Classification with SoftmaxWelcome to Learn with Jay – your go-to channel for mastering new skills and boosting your knowledge! Whether it’s personal ...
An AI model trained on analyzing ultrasound images and molecular testing results may assist health care professionals ...
22h
Tech Xplore on MSNScientists develop new mathematical model for transfer learning in neural networksAlessandro Ingrosso, researcher at the Donders Institute for Neuroscience, has developed a new mathematical method in ...
6d
Tech Xplore on MSNImage-based model enhances the detection of surface defects in low-light industrial settingsIn industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and ...
The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance ...
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