Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Gradient Descent with Momentum
Graph Chatbot
Related lectures (50)
Gradient Descent: Optimization and Constraints
Log in to Mediaspace to watch this video
Discusses gradient descent for optimization with equality constraints and iterative convergence criteria.
Edge Detection: Deep Learning Insights
Log in to Mediaspace to watch this video
Explores the evolution of edge detection techniques, from Canny to deep learning insights.
Quantum Mechanics: Electron Propagation and Measurement
Log in to Mediaspace to watch this video
Covers electron propagation, quantum operators, and the measurement process in quantum mechanics.
Visual Intelligence: Machines and Minds
Log in to Mediaspace to watch this video
Explores visual intelligence, evolution of eyes, blind spots, biomimicry, and the two-way connection between natural and artificial systems.
Stochastic Gradient Descent
Log in to Mediaspace to watch this video
Explores stochastic gradient descent optimization and the Mean-Field Method in neural networks.
Earth Dynamics: Center of Mass Movement
Log in to Mediaspace to watch this video
Covers advanced physics topics related to Earth dynamics and the Foucault pendulum experiment.
Advanced Physics I: Dynamics of Particle Systems
Log in to Mediaspace to watch this video
Covers advanced topics in physics, focusing on the dynamics of particle systems and collisions.
Word Embeddings: Modeling Word Context and Similarity
Log in to Mediaspace to watch this video
Covers word embeddings, modeling word context and similarity in a low-dimensional space.
Reinforcement Learning for Pacman
Log in to Mediaspace to watch this video
Covers the application of reinforcement learning to teach Pacman to play autonomously by trial and error.
Reinforcement Learning: Basics and Applications
Log in to Mediaspace to watch this video
Covers the basics of reinforcement learning, including Markov Decision Processes and policy gradient methods, and explores real-world applications and recent advances.
Previous
Page 3 of 3
Next