February 13, 2026. This webinar describes how Deep Learning methods can be used for object detection and segmentation in high resolution drone imagery using ArcGIS Pro.
Learn With Jay on MSN
Max pooling in CNNs explained for deep learning
In this video, we will understand what is Max Pooling in Convolutional Neural Network and why do we use it. Max Pooling in ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...
The integration of sleep-based AI into routine health check-ups represents a significant leap forward in personalised ...
Deep Learning with Yacine on MSNOpinion
What are 1x1 convolutions in deep learning – explained simply
Understand how 1x1 convolutions work and why they’re essential in modern neural network architectures like ResNet and ...
The review shows that smart greenhouses using IoT, artificial intelligence, and robotics can greatly improve crop yields, resource efficiency, and sustainability by enabling real-time monitoring, ...
Gen Z sees JLF not as a checklist event, but as a space to explore the past, decode the present, and imagine the ...
The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
Deep Learning with Yacine on MSNOpinion
Local response normalization (LRN) in deep learning – simplified!
Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback