Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

PyTorch and Convolutional Networks

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (50)

Deep Learning: Convolutional Networks Log in to Mediaspace to watch this video

Explores convolutional neural networks, backpropagation, and stochastic gradient descent in deep learning.

Deep Learning Fundamentals Log in to Mediaspace to watch this video

Introduces deep learning, from logistic regression to neural networks, emphasizing the need for handling non-linearly separable data.

Deep Learning: Data Representations and Neural Networks Log in to Mediaspace to watch this video

Covers data representations, Bag of Words, histograms, data pre-processing, and neural networks.

Machine Learning for Feature Extraction Log in to Mediaspace to watch this video

Explores machine learning for feature extraction, 3D vision, and neural networks in mobile robotics.

Computer Vision: Historical Insights and Project Inspirations Log in to Mediaspace to watch this video

Explores the historical development of computer vision and inspires innovative project ideas.

Deep Learning: Principles and Applications Log in to Mediaspace to watch this video

Covers the fundamentals of deep learning, including data, architecture, and ethical considerations in model deployment.

Deep Learning: Edge Detection and Neural Networks Log in to Mediaspace to watch this video

Discusses edge detection techniques and the evolution of deep learning in neural networks.

Deep Learning Log in to Mediaspace to watch this video

Covers the fundamentals of deep learning, including data representations, bag of words, data pre-processing, artificial neural networks, and convolutional neural networks.

Hand Pose Estimation Log in to Mediaspace to watch this video

Covers hand pose estimation, regression techniques, and the evolution of image classification models from LeNet to VGG19.

Machine Learning Basics Log in to Mediaspace to watch this video

Introduces the basics of machine learning, covering supervised and unsupervised learning, linear regression, and data understanding.

Deep and Convolutional Networks: Generalization and Optimization Log in to Mediaspace to watch this video

Explores deep and convolutional networks, covering generalization, optimization, and practical applications in machine learning.

Introduction to Machine Learning Log in to Mediaspace to watch this video

Covers the basics of machine learning, including supervised and unsupervised learning, linear regression, and classification.

Neural Networks: Training and Optimization Log in to Mediaspace to watch this video

Explores the training and optimization of neural networks, addressing challenges like non-convex loss functions and local minima.

Optical Machine Learning: Harnessing Multiple Scattering for Efficiency Log in to Mediaspace to watch this video

Explores the use of optics in machine learning, focusing on large-scale random matrix multiplication through multiple scattering of light.

Neuroscience and AI: Bridging the Gap Log in to Mediaspace to watch this video

Explores the gap between AI and human intelligence through neuroscience-inspired models and algorithms.

Delineation: Techniques and Dynamics Log in to Mediaspace to watch this video

Explores techniques for delineating objects in images, including dynamic programming and live wire methods.

Social Media Images: Understanding Food Perception with Deep Learning Log in to Mediaspace to watch this video

Explores deep learning with Instagram images, understanding food perception, obesity, and mental health, and discusses the impact of social media images and ephemeral platforms like Snapchat.

SGD and Mean Field Analysis Log in to Mediaspace to watch this video

Explores Stochastic Gradient Descent and Mean Field Analysis in two-layer neural networks, emphasizing their iterative processes and mathematical foundations.

Natural Language Processing: A Primer Log in to Mediaspace to watch this video

Introduces Natural Language Processing (NLP) and its applications, covering tokenization, machine learning, sentiment analysis, and Swiss NLP applications.

Threshold Functions in Neural Networks Log in to Mediaspace to watch this video

Explores threshold functions in neural networks for classifying data points based on positive and negative values.

Page 2 of 3