Object Recognition Courses and Certifications

MITCBMM

The Quest to Create Engineer-Quality Models of the Mechanisms of Human Visual Object Recognition - Pt1

Explore the mechanisms of human visual object recognition, focusing on systems-level models, reverse engineering, and the ventral visual stream's role in perception and AI applications.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

MITCBMM

The Quest to Create Engineer-Quality Models of the Mechanisms of Human Visual Object Recognition - Part 2

Explore cutting-edge models of human visual object recognition, their implications for AI, and strategies for future research in neuroscience and machine learning.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

EuroPython Conference

How to Apply Deep Learning for 3D Object Recognition

Practical guide to achieving 80% accuracy in 3D object recognition using deep learning, covering data preparation, model optimization, and implementation strategies.

• YouTube
• 23 minutes
• Self-Paced
• Conference Talk

Center for Language & Speech Processing(CLSP), JHU

How Does the Brain Solve Visual Object Recognition - 2012

Explore the brain's solution to visual object recognition, focusing on neuronal activity patterns in the primate ventral visual stream and their sufficiency in explaining human performance.

• YouTube
• 1 hour 26 minutes
• Self-Paced
• Free Video

Wolfram

Audio and Video Analysis: Speech Recognition, Object Tracking, and Processing Techniques

Explore cutting-edge audio-visual analysis techniques, from enhanced speech recognition to object tracking, dynamic highlighting, and advanced video processing using Kalman Filters.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Center for Language & Speech Processing(CLSP), JHU

How Does the Brain Solve Visual Object Recognition

Discover how the brain processes and recognizes visual objects through cutting-edge neuroscience research from MIT's McGovern Institute expert James DiCarlo.

• YouTube
• 1 hour 26 minutes
• Self-Paced
• Free Video

IIT Kharagpur;  NPTEL

Deep Learning For Visual Computing

1 rating

Deep learning is a genre of machine learning algorithms that attempt to solve tasks by learning abstraction in data following a stratified description paradigm using non-­linear transforma

• Swayam
• 12 weeks
• Self-Paced
• Free Online Course

Hough Transform for Line and Shape Detection - Lecture 18

Learn about the Hough Transform technique for detecting lines and shapes in images, including its algorithm, applications, and variations like Generalized Hough Transform.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Yannic Kilcher

How to Represent Part-Whole Hierarchies in a Neural Network - Geoff Hinton's Paper Explained

Explore GLOM, a novel computer vision model combining transformers, neural fields, and capsule networks to dynamically construct parse trees for object recognition and scene understanding.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Simons Institute

Does the Neocortex Use Grid Cell-Like Mechanisms to Learn the Structure of Objects?

Explore how the neocortex might use grid cell-like mechanisms to learn object structure, drawing parallels between spatial navigation and object recognition in the brain.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

Introduction to Computer Vision - Part II - Lecture 2

Explore computer vision fundamentals, deep learning applications, and advanced topics like object detection, segmentation, and action recognition in images and videos.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Introduction to Computer Vision - Lecture 1

Introduction to computer vision concepts, applications, and recent advancements. Explores visual perception, image types, object recognition, facial analysis, action detection, and video processing techniques.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

Institute for Advanced Study

A Practical Guide to Deep Learning - Richard Zemel

Explore deep learning fundamentals, from perceptrons to neural networks, with practical insights on object recognition, vision, and advanced techniques like regularization.

• YouTube
• 2 hours 3 minutes
• Self-Paced
• Free Video

Institute for Advanced Study

Machines - How Do They Learn and Where Are They Headed?

Explore machine learning fundamentals, neural networks, and AI challenges. Gain insights into how machines learn, their capabilities, and future directions in artificial intelligence.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

Association for Computing Machinery (ACM)

Deep Learning Revolution: Turing Award Lecture by Geoffrey Hinton and Yann LeCun

Pioneers of deep learning discuss breakthroughs, applications, and future prospects of neural networks in AI, from handwriting recognition to medical imaging and autonomous vehicles.

• YouTube
• 1 hour 31 minutes
• Self-Paced
• Free Video