Сверточные нейронные сети from Coursera

Этот курс научит вас строить сверточные нейронные сети и использовать их для обработки изображений. Благодаря глубокому обучению машинное зрение сегодня работает намного лучше, чем всего лишь два года назад, и это позволяет использовать его в самых разных отраслях, начиная от безопасного автономного вождения и точного распознавания лиц и заканчивая автоматической интерпретацией рентгеновских снимков.

В рамках курса вы:

— научитесь строить сверточные нейронные сети, включая их самые современные виды, такие как остаточные сети;

— узнаете, как применять сверточные сети в задачах визуального обнаружения объектов и распознавания изображений;

— узнаете, как использовать нейронную передачу стиля для создания изображений;

— научитесь применять алгоритмы к изображениям, видео и другим 2D- и 3D-данным.

Это четвертый курс специализации «Глубокое обучение».

What's inside

Syllabus

Основы сверточных нейронных сетей

Вы научитесь использовать базовые слои сверточных нейронных сетей (субдискретизирующие и сверточные) и правильно укладывать их в глубокую сеть для решения задач по многоклассовой классификации изображений.

Глубокие сверточные модели: практические примеры

Знакомство с практическими приемами и методами, описанными в научных работах по глубоким сверточным нейросетям

Обнаружение объектов

Получение навыков применения знаний о сверточных нейронных сетях к одной из самых сложных, но актуальных областей машинного зрения: обнаружению объектов.

Специальные области применения: распознавание лиц и нейронная передача стиля

Узнайте, как сверточные нейронные сети могут применяться в различных областях, включая построение изображений и распознавание лиц. Реализуйте свой собственный алгоритм для построения изображения и распознавания лиц!

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Taught by Andrew Ng, who is recognized for his work in deep learning

Develops skills, knowledge, and tools that are highly relevant in an academic setting

Taught by Younes Bensouda Mourri, who is recognized for their work in the field

Develops skills, knowledge, and tools that are highly relevant to industry

Taught by Kian Katanforoosh, who is recognized for their work in the industry

Builds a strong foundation for beginners

Covers unique perspectives are ideas that may add color to other topics and subjects

Career center

Learners who complete Сверточные нейронные сети will develop knowledge and skills that may be useful to these careers:

Computer Vision Engineer

Computer Vision Engineers design and develop computer vision systems that enable computers to derive meaningful information from digital images, videos, and other visual inputs. Those new to this field should take this course because the specialization on which it is based can help them with this career's steep learning curve. Particularly valuable is the element of this course that teaches how to build advanced CNNs, which are a crucial tool in computer vision.

See salaries and explore the career path for Computer Vision Engineer

Artificial Intelligence Engineer

An Artificial Intelligence Engineer understands machine learning, computer vision, natural language processing, and other AI techniques. This course may be useful because it specializes in developing CNNs, a popular choice in the field of AI.

See salaries and explore the career path for Artificial Intelligence Engineer

Data Scientist

Data Scientists are responsible for collecting, cleaning, and analyzing data to uncover trends and insights that can be used to make better decisions. Data Scientists often use machine learning and other advanced statistical techniques to analyze data. This course may be useful for this career path because it helps build a foundation in building and using CNNs, which are a powerful type of deep learning model that is particularly well-suited for processing images and other data with a grid-like structure.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts collect, clean, and analyze data to uncover trends and insights that can be used to make better decisions. This course may be useful for this career path because it helps build a foundation in building and using CNNs, which are a powerful type of deep learning model that is particularly well-suited for processing images and other data with a grid-like structure.

See salaries and explore the career path for Data Analyst

Research Scientist

Research Scientists conduct scientific research to deepen our understanding of natural and social phenomena and develop new technologies. This course may be useful for this career path because it provides a foundation for building and using Convolutional Neural Networks (CNNs). CNNs are a widely-used and powerful type of deep learning model that is particularly well-suited for processing images and other data with a grid-like structure.

See salaries and explore the career path for Research Scientist

Robotics Engineer

Robotics Engineers design, build, and maintain robots. They may work on a variety of robots, including industrial robots, medical robots, and military robots. This course may be useful for this career path because it provides a foundation for building and using Convolutional Neural Networks (CNNs). CNNs are a widely-used and powerful type of deep learning model that is particularly well-suited for processing images and other data with a grid-like structure.

See salaries and explore the career path for Robotics Engineer

Financial Analyst

Financial Analysts provide financial advice to individuals and businesses. They use a variety of tools and techniques to analyze financial data and make investment recommendations. This course may be useful for this career path because it helps build a foundation in building and using CNNs, which are a powerful type of deep learning model that is particularly well-suited for processing images and other data with a grid-like structure.

See salaries and explore the career path for Financial Analyst

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze data and make investment decisions. This course may be useful for this career path because it helps build a foundation in building and using CNNs, which are a powerful type of deep learning model that is particularly well-suited for processing images and other data with a grid-like structure.

See salaries and explore the career path for Quantitative Analyst

Machine Learning Engineer

A Machine Learning Engineer is qualified to apply advanced mathematical and statistical models to build Artificial Intelligence (AI) systems. Machine Learning Engineers may specialize in computer vision, natural language processing, or other subfields. This course may be useful for this career path because it provides a foundation for building and using Convolutional Neural Networks (CNNs). CNNs are a widely-used and powerful type of deep learning model that is particularly well-suited for processing images and other data with a grid-like structure.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

Software Engineers design, develop, test, and maintain software systems. They may work on a variety of projects, including web applications, mobile apps, and operating systems. This course may be useful for this career path because it provides a foundation for building and using Convolutional Neural Networks (CNNs). CNNs are a widely-used and powerful type of deep learning model that is particularly well-suited for processing images and other data with a grid-like structure.

See salaries and explore the career path for Software Engineer

Product Manager

Product Managers are responsible for managing the development and launch of new products. They work with engineers, designers, and marketers to ensure that products meet the needs of customers. This course may be useful for this career path because it helps build a foundation for understanding how to build and use CNNs, which are a powerful type of deep learning model that is particularly well-suited for processing images and other data with a grid-like structure.

See salaries and explore the career path for Product Manager

Business Analyst

Business Analysts work with businesses to improve their operations and make better decisions. They use a variety of tools and techniques, including data analysis, process modeling, and financial analysis. This course may be useful for this career path because it helps build a foundation for understanding how to build and use CNNs, which are a powerful type of deep learning model that is particularly well-suited for processing images and other data with a grid-like structure.

See salaries and explore the career path for Business Analyst

Consultant

Consultants provide advice and guidance to businesses and organizations. They work on a variety of projects, including strategy development, process improvement, and financial analysis. This course may be useful for this career path because it helps build a foundation for understanding how to build and use CNNs, which are a powerful type of deep learning model that is particularly well-suited for processing images and other data with a grid-like structure.

See salaries and explore the career path for Consultant

Marketing Manager

Marketing Managers develop and execute marketing campaigns to promote products and services. They work with a variety of teams, including sales, product development, and customer service. This course may be useful for this career path because it helps build a foundation for understanding how to build and use CNNs, which are a powerful type of deep learning model that is particularly well-suited for processing images and other data with a grid-like structure.

See salaries and explore the career path for Marketing Manager

Sales Manager

Sales Managers lead and motivate sales teams to achieve revenue goals. They work with customers to identify their needs and develop sales strategies. This course may be useful for this career path because it helps build a foundation for understanding how to build and use CNNs, which are a powerful type of deep learning model that is particularly well-suited for processing images and other data with a grid-like structure.

See salaries and explore the career path for Sales Manager