Efficient Geometry-aware 3D Generative Adversarial Networks GAN Paper Explained
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Discover the power of 3D Generative Adversarial Networks (GANs) with this comprehensive paper explanation. Learn about tri-plane 3D scene representation, NeRF in depth, explicit voxel grid methods, pose correlated facial features, dual discrimination, and super-resolution. Explore ethical considerations and robustness of intrinsics and extrinsics. Get started now!
EI Seminar - Michael Carbin - The Lottery Ticket Hypothesis
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Learn from Michael Carbin, a renowned expert in Neural Networks, about the Lottery Ticket Hypothesis and its implications for training pruned networks. Explore the scalability challenges of larger-scale settings, and gain insight into the instability of linear mode connectivity. Discover the takeaways from our current understanding and the implications for follow-up research.
Introduction To Soft Computing
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This course will provide an introduction to the fundamentals of soft computing and its applications.
Stanford Seminar: Concepts and Questions as Programs
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This Stanford Seminar will help you understand the concepts and questions behind programming. Learn how to think like a programmer and develop the skills to create your own programs. Get ready to explore the world of programming and take your skills to the next level.
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