Introduction to computer vision concepts, applications, and recent advancements. Explores visual perception, image types, object r...
Explore image processing fundamentals, including digitization, histograms, noise types, and filtering techniques. Learn about deri...
Introduction to neural networks, covering object classification, image representation, and machine learning fundamentals. Explores...
Comprehensive introduction to Convolutional Neural Networks, covering history, architecture, key concepts, and applications in ima...
Explore convolutional neural networks' architecture, layers, and features. Learn about AlexNet, pooling, normalization, and the pr...
Explore image processing techniques including filtering, convolution, and edge detection. Learn about derivatives, noise reduction...
Explore camera models, image formation, lenses, and projection techniques. Learn about 3D relations, pose estimation, and scene un...
Unmasking clever predictors: Explore Layer-wise Relevance Propagation and SPRAY techniques to assess machine learning models' deci...
Introduction to adversarial attacks on AI systems, covering real-world examples, attack methods, and defense strategies for variou...
Learn advanced deep learning concepts including neural networks, VGG, residual connections, autoencoders, and GANs. Explore batch...
Explore latent diffusion models for AI image generation, including unconditional generation and super-resolution techniques.
Explore edge detection techniques in image processing, from basic concepts to advanced algorithms like Canny Edge Detector, with p...