Yann LeCun’s Deep Learning Course Is Now Free & Fully Online



Yann LeCun’s deep studying course — Deep Learning DS-GA 1008 — at NYU Centre for Data Science has been made free and accessible on-line for all. The course shall be led by Yann LeCun himself, together with Alfredo Canziani, an assistant professor of pc science at NYU, in Spring 2020.

This deep studying course will deal with the most recent methods in deep studying and illustration studying. It can even deal with an in-depth understanding of supervised and unsupervised deep studying, embedding strategies, metric studying, and convolutional and recurrent nets. The course will additional speak concerning the functions to pc imaginative and prescient, pure language understanding, and speech recognition. The course, nevertheless, comes with a prerequisite of finishing the introductory course of deep studying — DS-GA 1001 Intro to Data Science or a graduate-level machine learning course.

According to the official weblog of NYU Centre for Data Science, the course shall be coated by way of a collection of video lectures, detailed written paperwork, executable Jupyter Notebooks with PyTorch implementations. The 14-week course will begin with easy subjects just like the motivation of deep studying with its historical past and inspiration, evolution and makes use of of CNNs, introduction to gradient descent to extra complicated topics like linear algebra and convolutions, optimisation methods, contrastive strategies in energy-based fashions, mannequin predictive coverage studying, and so forth. Along with all these, the course can even discover features like pc imaginative and prescient for self-supervision studying, deep studying for NLP, consideration and transformers, in addition to inference for latent-variable EBMs.

Although the course has been primarily written in English, NYU CDS moreover presents a number of translations in languages like Arabic, Japanese, Korean, Chinese, French, Italian, Spanish, Turkish, Persian, Russian, and so forth. with a plan so as to add for various languages like Portuguese, Bengali, and Vietnamese. The translation to such languages shall be completed manually by 470+ volunteers from 17 time zones all over the world.

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Leading the course, Yann LeCun, is primarily a pc scientist working within the fields of ML, pc imaginative and prescient, cellular robotics, and computational neuroscience. He is the VP and chief AI scientist, at Facebook, and likewise teaches pc science, neural science, together with data science at NYU. Assisting him shall be Alfredo Canziani, a analysis assistant professor of CS division and a deep studying analysis scientist at NYU. His curiosity primarily lies in machine learning for autonomous driving.

Check out the complete course description right here.

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Sejuti Das

Sejuti presently works as Senior Technology Journalist at Analytics India Magazine (AIM). Reach out at sejuti.das@analyticsindiamag.com


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