Deep Learning Essentials
- Do you want to learn how machines can learn tasks we thought only human brains could perform? Then take this Deep Learning course developed ... mehr...
Do you want to learn how machines can learn tasks we thought only human brains could perform? Then take this Deep Learning course developed by IVADO, Mila and UniversitÃ© de MontrÃ©al: an extensive overview of the essentials of deep learning, this ground-breaking technology already prevalent in our lives and spanning all sectors.weniger
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- 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 UniversitÃ© de MontrÃ©al 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. Milaâs founder and IVADOâs scientific director, Yoshua Bengio, also a professor at UniversitÃ© de MontrÃ©al, 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, âthe Nobel Prize of Computingâ, for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing. Deep learning is a way of thinking in Machine Learning, where data scientists focus on finding useful model architectures that can learn automatically to create new representations that are useful for some tasks. Initially inspired by the brain, the flexibility of Deep learning models enables them to deal with large datasets of multi-modal and high-dimensional data. 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 is 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.
- USD 149