Нейронные сети и глубокое обучение from Coursera

Этот курс поможет вам ознакомиться с новейшими технологиями искусственного интеллекта. Инженеры по глубокому обучению сейчас широко востребованы, освойте методы глубокого обучения и перед вами откроются многочисленные карьерные возможности. Глубокое обучение также можно считать новой «сверхспособностью», с помощью которой вы будете строить такие ИИ-системы, которые невозможно было создать еще пару лет назад.

В этом курсе вы познакомитесь с основами глубокого обучения. После завершения курса вы:

- будете иметь представление об основных технологических тенденциях, движущих вперед область глубокого обучения;

- сможете строить, обучать и применять полносвязные глубокие нейронные сети;

- будете знать, как реализуются эффективные (векторизованные) нейросети;

- получите представление о ключевых параметрах архитектуры нейронной сети

Данный курс также позволяет разобраться, как в реальности действует глубокое обучение, а не просто дает его поверхностное описание. Поэтому после завершения курса вы сможете применять глубокое обучение в собственных приложениях. Если вы ищете работу в области ИИ, то после прохождения данного курса вы также сможете ответить на простые вопросы в ходе собеседования.

Это первый курс специализации «Глубокое обучение».

What's inside

Syllabus

Нейронные сети и глубокое обучение

Сумейте объяснить основные тенденции, обеспечивающие взлет отрасли глубокого обучения, описать, где и как эти технологии применяются в текущее время.

Основы нейронных сетей

Научитесь ставить задачу машинного обучения, используя нейросети. Научитесь использовать векторизацию для ускорения своих моделей.

Малослойные нейросети

Научитесь создавать нейросеть с одним скрытым слоем, используя прямое и обратное распространение ошибки

Глубокие нейросети

Освойте ключевые вычисления в глубоком обучении, используйте их для построения и обучения глубоких нейросетей и примените их для решения задач компьютерного зрения.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Может помочь в создании ИИ-систем, которые были бы невозможны несколько лет назад

Научит применять глубокое обучение на практике

Предоставляет все необходимые знания для построения, обучения и применения полносвязных глубоких нейронных сетей

Создан известными в области глубокого обучения специалистами

Предназначен для начинающих осваивать глубокое обучение

Строит прочную базу для дальнейшего углубления в области глубокого обучения

Reviews summary

Challenging intro to deep learning

Despite offering a solid introduction to deep learning fundamentals, this course comes with some language barriers and technical issues that may hinder your learning experience. Take note that some assignments may not be feasible to submit.

The program includes interesting tasks and examples.

"It's interesting and a little difficult. Program tasks are very helpful to see the results and better understand the theory."

Course materials may not be in your preferred language.

"Не на русском языке"

Certain assignments may be impossible to submit.

"невозможно отправить задания"

Career center

Learners who complete Нейронные сети и глубокое обучение will develop knowledge and skills that may be useful to these careers:

Artificial Intelligence Engineer

Artificial Intelligence Engineers design, develop, and implement AI systems. This course, Нейронные сети и глубокое обучение, can help AI Engineers stay up-to-date on the latest advancements in deep learning. The course covers topics such as convolutional neural networks, recurrent neural networks, and deep reinforcement learning.

See salaries and explore the career path for Artificial Intelligence Engineer

Machine Learning Engineer

Machine Learning Engineers are responsible for developing and implementing machine learning models. This course, Нейронные сети и глубокое обучение, provides a solid foundation in the fundamentals of deep learning, which is a critical skill for Machine Learning Engineers. The course covers topics such as neural network architectures, optimization algorithms, and regularization techniques.

See salaries and explore the career path for Machine Learning Engineer

Marketing Manager

Marketing Managers are responsible for developing and executing marketing campaigns. This course, Нейронные сети и глубокое обучение, may be useful for Marketing Managers who want to learn more about AI and how to apply it to marketing. The course covers topics such as social media marketing, email marketing, and search engine optimization.

See salaries and explore the career path for Marketing Manager

Business Analyst

Business Analysts help businesses make better decisions by providing them with data-driven insights. This course, Нейронные сети и глубокое обучение, may be useful for Business Analysts who want to learn more about AI and how to apply it to business problems. The course covers topics such as customer segmentation, fraud detection, and risk management.

See salaries and explore the career path for Business Analyst

Product Manager

Product Managers are responsible for the development and launch of new products. This course, Нейронные сети и глубокое обучение, may be useful for Product Managers who want to learn more about AI and how to apply it to product development. The course covers topics such as user experience design, feature engineering, and agile development.

See salaries and explore the career path for Product Manager

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data. This course, Нейронные сети и глубокое обучение, may be useful for Quantitative Analysts who want to learn more about AI and how to apply it to financial modeling. The course covers topics such as machine learning, deep learning, and risk management.

See salaries and explore the career path for Quantitative Analyst

Software Engineer

Software Engineers design, develop, and implement software systems. This course, Нейронные сети и глубокое обучение, may be useful for Software Engineers who want to learn more about AI and how to apply it to their work. The course covers topics such as natural language processing, computer vision, and speech recognition.

See salaries and explore the career path for Software Engineer

Sales Manager

Sales Managers are responsible for leading and managing sales teams. This course, Нейронные сети и глубокое обучение, may be useful for Sales Managers who want to learn more about AI and how to apply it to sales. The course covers topics such as lead generation, customer relationship management, and sales forecasting.

See salaries and explore the career path for Sales Manager

Risk Manager

Risk Managers identify, assess, and manage risks for organizations. This course, Нейронные сети и глубокое обучение, may be useful for Risk Managers who want to learn more about AI and how to apply it to risk management. The course covers topics such as risk assessment, risk mitigation, and risk modeling.

See salaries and explore the career path for Risk Manager

Data Analyst

Data Analysts collect, clean, and analyze data to identify trends and patterns. This course, Нейронные сети и глубокое обучение, may be useful for Data Analysts who want to learn more about AI and how to apply it to data analysis. The course covers topics such as supervised learning, unsupervised learning, and time series analysis.

See salaries and explore the career path for Data Analyst

Investment Analyst

Investment Analysts provide investment advice to individuals and organizations. This course, Нейронные сети и глубокое обучение, may be useful for Investment Analysts who want to learn more about AI and how to apply it to investment analysis. The course covers topics such as stock analysis, bond analysis, and portfolio management.

See salaries and explore the career path for Investment Analyst

Financial Analyst

Financial Analysts provide financial advice to individuals and organizations. This course, Нейронные сети и глубокое обучение, may be useful for Financial Analysts who want to learn more about AI and how to apply it to financial analysis. The course covers topics such as financial modeling, risk management, and portfolio optimization.

See salaries and explore the career path for Financial Analyst

Operations Manager

Operations Managers are responsible for the day-to-day operations of a business. This course, Нейронные сети и глубокое обучение, may be useful for Operations Managers who want to learn more about AI and how to apply it to operations. The course covers topics such as supply chain management, inventory management, and quality control.

See salaries and explore the career path for Operations Manager

Data Scientist

Data Scientists typically require a master's degree in a field such as computer science, statistics, or data science. This course, Нейронные сети и глубокое обучение, may be useful for those looking to learn more about the latest AI technologies and how to apply them to data science problems. The course covers topics such as neural networks, deep learning, and supervised and unsupervised learning.

See salaries and explore the career path for Data Scientist

Compliance Officer

Compliance Officers ensure that organizations comply with laws and regulations. This course, Нейронные сети и глубокое обучение, may be useful for Compliance Officers who want to learn more about AI and how to apply it to compliance. The course covers topics such as regulatory compliance, data privacy, and ethics.

See salaries and explore the career path for Compliance Officer