Deep Learning Frameworks
Keith and Alex discuss the challenges of handling 3D transformations in deep learning frameworks. They explore the limitations of vectors and the potential of using pose matrices to capture object-wise invariance. The conversation delves into the complexities of degrees of freedom and the need for further implementation and research in this area.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Capsule Networks and Education Targets
Related Questions