Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day…

Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day…

In this class you will learn the basic principles and tools used to process images and videos, and how to apply them in solving practical problems of commercial and scientific interests. Digital images and videos are everywhere these days – in thousands of scientific (e.g., astronomical, bio-medical), consumer, industrial, and artistic applications. Moreover they come in a wide range of the electromagnetic spectrum - from visible light and infrared to gamma rays and beyond. The ability to…

In this class you will learn the basic principles and tools used to process images and videos, and how to apply them in solving practical problems of commercial and scientific interests. Digital images and videos are everywhere these days – in thousands of scientific (e.g., astronomical, bio-medical), consumer, industrial, and artistic applications. Moreover they come in a wide range of the electromagnetic spectrum - from visible light and infrared to gamma rays and beyond. The ability to…

In this class you will look behind the scenes of image and video processing, from the basic and classical tools to the most modern and advanced algorithms. What is image and video processing? Images and videos are everywhere, from those we take with our mobile devices and share with our friends to those that we receive from Mars and the ones we see in the movie theatre, without forgetting the whole ensemble of images of our bodies that are taken in hospital visits. Image and video processing…

In this class you will look behind the scenes of image and video processing, from the basic and classical tools to the most modern and advanced algorithms. What is image and video processing? Images and videos are everywhere, from those we take with our mobile devices and share with our friends to those that we receive from Mars and the ones we see in the movie theatre, without forgetting the whole ensemble of images of our bodies that are taken in hospital visits. Image and video processing…

CS231n: Convolutional Neural Networks for Visual Recognition by Fei-Fei Li, Andrej Karpathy, Stanford.  This course is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification.

CS231n: Convolutional Neural Networks for Visual Recognition by Fei-Fei Li, Andrej Karpathy, Stanford. This course is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification.

Einführung in Computer Vision. Dieser Kurs vermittelt einen Überblick über die Grundlagen des Maschinellen Sehens an Hand der Extraktion von 3D-Information aus dem Stereokamerabild einer Szene. Räumliches Sehen stellt für die meisten Menschen eine Selbstverständlichkeit dar. Maschinen mit einem gleichwertigen Sehvermögen auszustatten, ist hingegen eine sehr komplizierte Angelegenheit. Seit den 1960-er Jahren hat sich dieser als Computer Vision bezeichnete Forschungsbereich kontinuierlich…

Einführung in Computer Vision. Dieser Kurs vermittelt einen Überblick über die Grundlagen des Maschinellen Sehens an Hand der Extraktion von 3D-Information aus dem Stereokamerabild einer Szene. Räumliches Sehen stellt für die meisten Menschen eine Selbstverständlichkeit dar. Maschinen mit einem gleichwertigen Sehvermögen auszustatten, ist hingegen eine sehr komplizierte Angelegenheit. Seit den 1960-er Jahren hat sich dieser als Computer Vision bezeichnete Forschungsbereich kontinuierlich…

Learn the fundamentals of digital signal processing theory and discover the myriad ways DSP makes everyday life more productive and fun. The goal of the course is to develop a complete working set of digital signal processing notions from the ground up. DSP is arguably at the heart of the “digital revolution” that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of information availability. In the class, starting from the basic ...

Learn the fundamentals of digital signal processing theory and discover the myriad ways DSP makes everyday life more productive and fun. The goal of the course is to develop a complete working set of digital signal processing notions from the ground up. DSP is arguably at the heart of the “digital revolution” that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of information availability. In the class, starting from the basic ...

The course will consider how what we see is generated by the visual system, and what visual perception indicates about how the brain works. The evidence will be drawn from neuroscience, psychology, science history and philosophy. Although the discussions will be informed by visual system anatomy and physiology, the focus is on perception. The purpose of the course is to consider how what we see is generated by the visual system.In the 1960s and for the following few decades, it seemed all…

The course will consider how what we see is generated by the visual system, and what visual perception indicates about how the brain works. The evidence will be drawn from neuroscience, psychology, science history and philosophy. Although the discussions will be informed by visual system anatomy and physiology, the focus is on perception. The purpose of the course is to consider how what we see is generated by the visual system.In the 1960s and for the following few decades, it seemed all…

Enter the world of signal processing: analyze and extract meaning from the signals around us! About this Course Technological innovations have revolutionized the way we view and interact with the world around us. Editing a photo, re-mixing a song, automatically measuring and adjusting chemical concentrations in a tank: each of these tasks requires real-world data to be captured by a computer and then manipulated digitally to extract the salient information. Ever wonder how signals from the…

Enter the world of signal processing: analyze and extract meaning from the signals around us! About this Course Technological innovations have revolutionized the way we view and interact with the world around us. Editing a photo, re-mixing a song, automatically measuring and adjusting chemical concentrations in a tank: each of these tasks requires real-world data to be captured by a computer and then manipulated digitally to extract the salient information. Ever wonder how signals from the…

A focused view into the theory behind modern discrete-time signal processing systems and applications. About this Course 6.341x is designed to provide both an in-depth and an intuitive understanding of the theory behind modern discrete-time signal processing systems and applications.  The course begins with a review and extension of the basics of signal processing including a discussion of group delay and minimum-phase systems, and the use of discrete-time (DT) systems for processing of ...

A focused view into the theory behind modern discrete-time signal processing systems and applications. About this Course 6.341x is designed to provide both an in-depth and an intuitive understanding of the theory behind modern discrete-time signal processing systems and applications. The course begins with a review and extension of the basics of signal processing including a discussion of group delay and minimum-phase systems, and the use of discrete-time (DT) systems for processing of ...

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