TensorFlow from the Ground Up - ML Tech Talks
Explore TensorFlow fundamentals: tensors, variables, gradients, modules, training loops, and tf.function. Ideal for those with ML basics seeking a deeper understanding of TensorFlow's core concepts.
Tensors and Entanglement - Asymptotic Entanglement Transformations - Lecture 1
Explorez les transformations asymptotiques d'états quantiques intriqués et leurs caractérisations mathématiques à travers les tenseurs et les opérations locales avec communication classique.
Elements of General Relativity - Lecture 2
Explore advanced concepts in general relativity, focusing on geometry beyond Riemann and examining curvature and rigidity in spacetime.
Elements of General Relativity - Lecture 3
Explore advanced concepts in general relativity, focusing on geometry beyond Riemann and examining curvature and rigidity in spacetime.
Elements of General Relativity and AdS Space
Explore general relativity and Anti-de Sitter space fundamentals in this introductory minicourse on AdS-CFT, presented by Horatiu Nastase at ICTP-SAIFR.
Análise em Variedades - Aula 22
Explore conceitos avançados de análise em variedades, incluindo formas diferenciais, teorema de Stokes, cohomologia de De Rham e aplicações em geometria diferencial.
Análise em Variedades - Aula 21
Explore conceitos avançados de análise em variedades, incluindo fibrados tangentes, formas diferenciais e o Teorema de Stokes, com aplicações práticas em geometria diferencial.
Generalizations of Matrix Multiplication for Solving the Light Bulb Problem
Explore a novel approach to solving the Light Bulb Problem using tensor-based algorithms, potentially outperforming traditional matrix multiplication methods for faster data analysis and pattern recognition.
Tensors versus Tensor Densities and Stokes Theorem - Lecture 12
Explore tensors, tensor densities, and Stokes theorem in electrodynamics and relativity. Gain insights into advanced theoretical physics concepts.
PyTorch Tutorial for Deep Learning
Explore PyTorch for deep learning: implement neural networks, leverage GPU acceleration, and train convolutional models for digit recognition using efficient coding practices.
Tensors of Minimal Border Rank and Their Role in Matrix Multiplication Complexity
Delve into advanced algebraic geometry concepts exploring minimal border rank tensors and their crucial role in matrix multiplication complexity theory and computational mathematics.