• Duración:
    5 semanas
  • Dedicación:
    4–6 horas por semana
  • Precio:

    GRATIS
    Agregar un Certificado Verificado por $149 USD

  • Institución
  • Tema:
  • Nivel:
    Intermediate
  • Idioma:
    English
  • Transcripción de video:
    English
  • Tipo de curso:
    A tu ritmo

Prerrequisitos

A minimal knowledge of programming (ideally in Python), basic knowledge in mathematics (linear algebra, statistics) and a scientific background are necessary to fully enjoy this course.

Sobre este curso

Omitir Sobre este curso

Gain a good understanding of what Deep Learning is, what types of problems it resolves, and what are the fundamental concepts and methods it entails. The course developed by IVADO, Mila and Université de Montréal offers diversified learning tools for you to fully grasp the extent of this ground-breaking cross-cutting technology, a critical need in the field.

IVADO, a scientific and economic data science hub bridging industrial, academic and government partners with expertise in digital intelligence designed the course, and the world-renowned Mila, rallying researchers specialized in Deep Learning, created the content. Mila’s founder and IVADO’s scientific director, Yoshua Bengio, also a professor at Université de Montréal, is a world-leading expert in artificial intelligence and a pioneer in deep learning as well as the scientific director of this course. He is also a joint recipient of the 2018 A.M. Turing Award, “the Nobel Prize of Computing”, for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing.

Deep Learning is an extension of Machine Learning where machines can learn by experience without human intervention. It is largely influenced by the human brain in the fact that algorithms, or artificial neural networks, are able to learn from massive amounts of data and acquire skills that a human brain would. Thus, Deep learning is now able to tackle a large variety of tasks that were considered out of reach a few years ago in computer vision, signal processing, natural language processing, robotics, and sequential decision-making. Because of these recent advances, various industries are now deploying deep learning models that impact various economic sectors such as transport, health, finance, energy, as well as our daily life in general.

If you are a professional, a scientist or an academic with basic knowledge in mathematics and programming, this MOOC is designed for you! Atop the rich Deep Learning content, discover issues of bias and discrimination in machine learning and benefit from this sociotechnical topic that has proven to be a great eye-opener for many.

Lo que aprenderás

Omitir Lo que aprenderás

At the end of the MOOC, participants should be able to:

  • Understand the basics and terminology related to Deep Learning

  • Identify the types of neural networks to use to solve different types of problems

  • Get familiar with Deep Learning libraries through practical and tutorial sessions

Plan de estudios

Omitir Plan de estudios

MODULE 1 Machine Learning (ML) and Experimental Protocol

  • Introduction to ML
  • ML Tools

MODULE 2 Introduction to Deep Learning

  • Modular Approaches
  • Backpropagation
  • Optimization

MODULE 3 Intro to Convolutional Neural Networks (CNN)

  • Introduction to CNN
  • CNN Architectures

MODULE 4 Introduction to Recurrent Neural Networks

  • Sequence to Sequence Models
  • Concepts in Natural Language Processing

MODULE 5 Bias and Discrimination in ML

  • Differences of Fairness
  • Fairness in Pre- In- and Post-Processing

Conoce a tus instructores

Mirko Bronzi
Applied Research Scientist
Mila - Applied Research Team
Golnoosh Farnadi
Researcher and Fellow
Mila, IVADO
Gaétan Marceau Caron
Applied Research Scientist
Mila - Applied Research Team
Jeremy Pinto
Applied Research Scientist
Mila - Applied Research Team

Curso creado con el apoyo de

IvadoMila

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Preguntas frecuentes

What is the complete list of speakers for this course?

Mirko BRONZI

Golnoosh FARNADI

Gaétan MARCEAU-CARON

Jeremy PINTO

¿Quién puede hacer este curso?

Lamentablemente, las personas de uno o más de los siguientes países o regiones no podrán registrarse para este curso: Irán, Cuba y la región de Crimea en Ucrania. Si bien edX consiguió licencias de la Oficina de Control de Activos Extranjeros de los EE. UU. (U.S. Office of Foreign Assets Control, OFAC) para ofrecer nuestros cursos a personas en estos países y regiones, las licencias que hemos recibido no son lo suficientemente amplias como para permitirnos dictar este curso en todas las ubicaciones. edX lamenta profundamente que las sanciones estadounidenses impidan que ofrezcamos todos nuestros cursos a cualquier persona, sin importar dónde viva.