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Learn Object Recognition, earn certificates with paid and free online courses from IIT Kharagpur, IIT Kanpur, NPTEL, University of Central Florida and other top universities around the world. Read reviews to decide if a class is right for you.
Training complex deep learning models with large datasets takes along time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning.
Master computer vision skills for robotics and automation. Analyze images, extract features, and recognize objects using deep learning. Gain expertise in object tracking, localization, and advanced applications like skin cancer detection.
Next-Gen Computer Vision: YOLOv8, DINO-GPT4V, OpenCV4, Face Recognition, GenerativeAI, Diffusion Models & Transformers
Build Real-World Computer Vision Applications on Raspberry Pi and Learn Basics of Neural Networks using Google Colab
Learn about the Hough Transform technique for detecting lines and shapes in images, including its algorithm, applications, and variations like Generalized Hough Transform.
Explore object recognition techniques, from Bag of Words to selective search, covering codebooks, visual synonyms, and object localization for effective image classification.
Introduction to computer vision concepts, applications, and recent advancements. Explores visual perception, image types, object recognition, facial analysis, action detection, and video processing techniques.
Explore computer vision fundamentals, deep learning applications, and advanced topics like object detection, segmentation, and action recognition in images and videos.
Explore semantic segmentation techniques, including pretrained layers, skip connections, and upsampling methods for advanced image analysis and understanding.
Explore computer vision classification techniques, including object recognition, image classification, and machine learning frameworks. Learn about nearest neighbor and linear classifiers.
Learn computer vision techniques with Python and OpenCV, from face detection to emotion recognition, creating filters, and building interactive projects like virtual mouse and games.
Explore deep learning's evolution in computer vision, from unsupervised algorithms to modern object recognition systems. Learn practical tips and future challenges in this field.
Innovative smartwatch technology enhances bio-acoustic sensing, enabling gesture recognition, object detection, and body-based data transmission, expanding wearable interaction possibilities.
Explore machine learning-enhanced compressive hyperspectral imaging techniques, combining optical systems and neural networks for efficient data acquisition and processing in various applications.
Explore deep learning fundamentals, from perceptrons to neural networks, with practical insights on object recognition, vision, and advanced techniques like regularization.
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