Found 911 presentations matching your search
Hshehebebee
Advantages and Disadvantages Merits and Demerits How does work AI Why AI is very important
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
Gradient Descent is used to minimize a function, typically the loss or cost function in machine lear...
Artificial Intelligence
This is a presentation on Lung Cancer Detection.
This lecture introduces Artificial intelligence for beginner for the AI course
Artificial intelligence (AI) is a rapidly evolving field that has the potential to revolutionize var...
Communication skills - 3 assignment. technical presentation 23BIT215
Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention
WiGNet: Windowed Vision Graph Neural Network
Best pptx about ai artificial intelligence
Facial expression recognition using cnn
Brain tumor presentation
Simplifying and Empowering Transformers for Large-Graph Representations
Jaringan Syaraf Tiruan
nothing but enjoyyy fellasss
Here the concept of Keras has been explained in detail for the beginners. It is designed in such a ...
Convolutional Neural Networks
Minna no Nihongo Shokyuu 1 - ChoukaiMinna no Nihongo Shokyuu 1 - ChoukaiMinna no Nihongo Shokyuu 1 -...
Unlock the Secrets of Discriminative Models: Master the Art of Prediction! 🌟 Dive into our latest...
Artificial intelligence and machine learning are lpu presentation
Stable_Diffusion_Diagrams_Version_2.pptx
about computational intelligence
![[20240819_LabSeminar_Huy]Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling.pptx](https://slidepub.com/thumb/9665/271139665.jpg)
![[20240617_LabSeminar_Huy]Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention.pptx](https://slidepub.com/thumb/9512/269849512.jpg)
![250310_Thanh_LabSeminar[WiGNet: Windowed Vision Graph Neural Network].pptx](https://slidepub.com/thumb/7425/276497425.jpg)
![240429_Thuy_Labseminar[Simplifying and Empowering Transformers for Large-Graph Representations].pptx](https://slidepub.com/thumb/7474/267637474.jpg)
