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Deep Learning Essentials

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Through the use of a variety of Deep Learning libraries, this course provides a full introduction to Deep Learning, covering its theory, neural networks, and practical applications.

Key AI Functions:data science,algorithms,computer vision,artificial intelligence,artificial neural networks,decision making,signal processing,finance,machine learning,deep learning,natural language processing,ai & machine learning

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Description for Deep Learning Essentials

Fundamentals of Deep Learning: Acquire a comprehensive understanding of the foundational concepts and terminology associated with Deep Learning, while examining the ways in which this technology effectively tackles intricate challenges.
Types of Neural Networks: Acquire the ability to recognize various categories of neural networks and determine the most suitable one for addressing a range of problems.
Experiential Learning with Deep Learning Libraries: Acquire practical expertise in Deep Learning libraries by engaging in tutorial sessions and exercises.
Content Curated by Experts from Prestigious Institutions: Take advantage of a course developed by IVADO, Mila, and the Universit� de Montr�al, which provides valuable insights from leading authorities in the field.

Level: Intermediate

Certification Degree: yes

Languages the Course is Available: 1

Offered by: On edX provided by UMontrealX

Duration: 4�6 hours per week approx 5 weeks

Schedule: Flexible

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