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Learn Imaging online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Harvard University
Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. Before you know it, you’ll be implementing an entire TinyML application.
DeepLearning.AI
In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more. By the end, you will be able to build a convolutional ne…
Microsoft
Learn the best practices for interacting with AI tools, including how to effectively prompt AI, summarize articles, and create images. This module provides you with basic AI terms and practical skills to enhance your understanding and usage of artificial intelligence. Perfect for beginners aiming t…
Columbia University
This course focuses on the recovery of the 3D structure of a scene from its 2D images. In particular, we are interested in the 3D reconstruction of a rigid scene from images taken by a stationary camera (same viewpoint). This problem is interesting as we want the multiple images of the scene to cap…
*** This is CS50, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming. *** TABLE OF CONTENTS 00:00:00 - Welcome 00:14:13 - Introduction 00:16:25 - Image Generation 00:21:38 - ChatGPT 00:24:18 - Prompt Engineering 00:25:52 - CS50.ai 00:32:…
DeepLearning.AI
In this course, you will: - Explore the applications of GANs and examine them wrt data augmentation, privacy, and anonymity - Leverage the image-to-image translation framework and identify applications to modalities beyond images - Implement Pix2Pix, a paired image-to-image translation GAN, to adap…
This course explores diffusion-based generative models for vision. You will study the foundations of diffusion, score matching and flow matching, modern architectures such as Diffusion Transformers, and methods for controllable image generation and evaluation. The course combines theory with practi…
00:00:00 - Introduction 00:02:35 - Representation 00:06:02 - Binary 00:09:17 - Binary Bulbs (Demo) 00:12:22 - Representing Letters 00:14:08 - Abstraction 00:15:35 - Unicode 00:17:21 - RGB 00:19:38 - Representing Images and Video 00:21:28 - Finding Mike Smith 00:24:54 - Solving Problems Effectively…
Udacity
Gain hands-on experience with tools to build AI that generates text, images, or code. This free microlearning course covers essential concepts behind generative models built and deployed in the cloud.
Great Learning
This free computer vision basics course equips you with the essential knowledge to understand how machines process and interpret images and videos. You’ll learn computer vision architecture, digital images, pixels, sampling, amplitude quantization, pixel neighborhoods, and pixel intensity histogram…
MIT OpenCourseWare
Most algorithms in computer vision and image analysis can be understood in terms of two important components: a representation and a modeling/estimation algorithm. The representation defines what information is important about the objects and is used to describe them. The modeling techniques extrac…
Johns Hopkins University
Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physic…
While deep learning has achieved remarkable success in many problems such as image classification, natural language processing, and speech recognition, these models are, to a large degree, specialized for the single task they are trained for. This course will cover the setting where there are multi…
Microsoft
Evaluate how Microsoft Copilot, Designer, and Clipchamp streamline image generation, video editing, and media enhancement tasks for music video production.
DeepLearning.AI
In this course, you will: a) Learn neural style transfer using transfer learning: extract the content of an image (eg. swan), and the style of a painting (eg. cubist or impressionist), and combine the content and style into a new image. b) Build simple AutoEncoders on the familiar MNIST dataset, an…
MIT OpenCourseWare
The applications of pattern recognition techniques to problems of machine vision is the main focus for this course. Topics covered include, an overview of problems of machine vision and pattern classification, image formation and processing, feature extraction from images, biological object recogni…
Microsoft
Learn how to analyze images with Azure Content Understanding.
Columbia University
This course focuses on the detection of features and boundaries in images. Feature and boundary detection is a critical preprocessing step for a variety of vision tasks including object detection, object recognition and metrology – the measurement of the physical dimensions and other properties of…
