Deep Learning Essentials

Übersicht

Delve into the world of Deep Learning with a comprehensive online course brought to you by IVADO, Mila, and Université de Montréal. Understand the core principles of Deep Learning, explore the types of problems it can solve, and get acquainted with its fundamental concepts and methods.

This course is a collaborative effort between the academic and research expertise of IVADO, the scientific prowess of Mila in Deep Learning, and the educational leadership of Université de Montréal, ensuring a rich and in-depth learning experience.

Designed by IVADO, the data science hub, and content created by Mila's renowned researchers, this course stands on the shoulders of giants in the field of digital intelligence. With original presentations from a notable event in Montreal, this content has been skilfully adapted into a MOOC format, first launched in March 2020, with its tutorials updated on Colab Notebook by Spring 2021.

Guided by Yoshua Bengio, Mila’s founder, IVADO’s scientific director, and a luminary in the artificial intelligence and deep learning space, learners have the unique opportunity to gain insights from a recipient of the 2018 A.M.

Turing Award. Deep Learning, an advanced branch of Machine Learning, empowers machines to learn from vast data without direct human oversight, mimicking the human brain's ability to learn and adapt.

This technology is revolutionizing fields such as computer vision, signal processing, natural language processing, robotics, and more, influencing various economic sectors from transportation to healthcare.

This MOOC is specially designed for professionals, scientists, and academics with a basic understanding of mathematics and programming. Beyond the technical learning, the course also covers critical sociotechnical topics such as bias and discrimination in machine learning.

This content not only enriches your understanding of Deep Learning but also opens up new perspectives on the ethical considerations in the field.

Provider:

edX. Categories:

Machine Learning Courses, Deep Learning Courses.

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Unterrichtet von

Mirko Bronzi, Gaétan Marceau Caron, Jeremy Pinto and Golnoosh Farnadi

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Fachgebiete