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Discover how Manifold-Constrained Hyper-Connections (mHC) are transforming deep learning architectures! 🚀

In this video, we break down:

What mHC is and how it builds on ResNets & Hyper-Connections

Why doubly stochastic constraints stabilize training and restore identity mapping

How mHC improves convergence speed and scalability for modern neural networks

Practical insights for researchers and practitioners working with PyTorch and advanced architectures

Whether you’re a student, researcher, or ML engineer, this is your guide to understanding one of the most exciting innovations in deep learning.

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