NVIDIA's Kaolin is a PyTorch library for all 3D deep learning needs from data preprocessing to model deployment, intending faster research
3D Deep Learning is gaining more importance nowadays with vital application needs in self-driving vehicles, autonomous robots, augmented reality and virtual reality, 3D graphics, and 3D games. Unlike 2D data, 3D data is complex with more parameters and features. Collecting 3D data and transforming it from one representation to another is a tedious process. Thus 3D deep learning is more time consuming and error-prone than 2D Computer Vision. Though there are nicely-performing models, datasets, metrics, graphics tools, and visualization tools published in recent years, integrating different approaches is quite a non-trivial job for researchers and practitioners. Read more: https://analyticsindiamag.com/nvidias-kaolin-3d-deep-learning-library/
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In this video, I have explained what is meant by Deep Learning, Artificial Neural Networks and Applications of Deep Learning.
Demystifying AI, Machine Learning, and Deep Learning. Learn about AI, machine learning, supervised learning, unsupervised learning, classification, decision trees, clustering, deep learning, and algorithms.
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This video is about the difference between the three terms Artificial Intelligence, Machine Learning & Deep Learning. AI vs ML vs DL. AI vs Machine Learning vs Deep Learning | AI vs ML vs DL | Machine Learning Training with Python