Semantic Segmentation Courses and Certifications

Toronto Machine Learning Series (TMLS)

Semantic Segmentation in Satellite Imagery

Explore advanced techniques in deep learning for image segmentation and object detection, focusing on practical applications in autonomous driving.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Alexander Amini;  MIT

Convolutional Neural Networks

Explore convolutional neural networks for computer vision tasks, covering feature extraction, convolution operations, and applications in classification, segmentation, and image captioning.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Aladdin Persson

PyTorch Image Segmentation Tutorial with U-NET - Everything From Scratch

Learn to implement U-NET for image segmentation from scratch, covering model architecture, dataset preparation, training process, and evaluation techniques in PyTorch.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Great Learning

Artificial Intelligence for Beginners

Discover Python-based AI fundamentals including computer vision, semantic segmentation, NLP, and deep learning through hands-on tutorials and practical demonstrations.

• YouTube
• 1 day 8 hours 56 minutes
• On-Demand
• Free Video

Aleksa Gordić - The AI Epiphany

Neural Style Transfer

Dive into neural style transfer from basic theory to advanced implementations, covering optimization and feed-forward methods with hands-on PyTorch coding examples.

• YouTube
• 1 hour 33 minutes
• On-Demand
• Free Video

Advanced Computer Vision - Spring 2022

Dive into cutting-edge computer vision techniques including Vision Transformers, DETR object detection, video analysis, and self-supervised learning through 27 comprehensive lectures.

• YouTube
• 18 hours 33 minutes
• On-Demand
• Free Video

Alexander Amini;  MIT

Convolutional Neural Networks

Explore deep learning for computer vision, covering CNNs, object detection, and image segmentation. Learn about architectures, applications, and impacts in various fields.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Alfredo Canziani

CNN Applications, RNN, and Attention

Explore CNN applications in digit recognition, object detection, and semantic segmentation. Dive into RNNs, addressing their challenges with attention mechanisms, GRUs, LSTMs, and Seq2Seq models.

• YouTube
• 1 hour 29 minutes
• On-Demand
• Free Video

Sam Witteveen

Unveiling Meta's Impressive CV Model - SAM 2: Segment Anything in Images and Videos

Explore Meta's advanced CV model SAM 2, featuring unified architecture for image and video segmentation. Learn its capabilities through demos and code samples for enhanced visual understanding.

• YouTube
• 12 minutes
• On-Demand
• 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
• On-Demand
• Free Video

Introduction to Adversarial Attacks in Machine Learning - Lecture 1

Introduction to adversarial attacks on AI systems, covering real-world examples, attack methods, and defense strategies for various applications like face recognition and object detection.

• YouTube
• 54 minutes
• On-Demand
• Free Video

Instance Segmentation - Lecture 17

Explore instance segmentation techniques, including semantic segmentation, ROI pooling, and mask structures, for advanced computer vision applications.

• YouTube
• 43 minutes
• On-Demand
• 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
• On-Demand
• Free Video

Andreas Geiger

Implicit Neural Scene Representations

Explore implicit neural representations for complex signals, enabling 3D reconstruction from single images and fast inference through gradient-based meta-learning, with applications in scene understanding and semantic segmentation.

• YouTube
• 57 minutes
• On-Demand
• Free Video

Andreas Geiger

Attacking Optical Flow

Explores adversarial patch attacks on optical flow networks, revealing vulnerabilities in deep learning-based motion estimation crucial for autonomous driving safety.

• YouTube
• 30 minutes
• On-Demand
• Free Video