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Deep Learning | NYU Data Science Center Course

New York University

Dive into the latest advancements in deep learning with this hands-on course from NYU's renowned Data Science Center. Explore cutting-edge techniques in computer vision and natural language processing.

University CoursesLuaMachine Learning

Introduction

This increasingly popular course is taught through the Data Science Center at NYU. Originally introduced by Yann Lecun, it is now led by Zaid Harchaoui, although Prof. Lecun is rumored to still stop by from time to time. It covers the theory, technique, and tricks that are used to achieve very high accuracy for machine learning tasks in computer vision and natural language processing. The assignments are in Lua and hosted on Kaggle.

Highlights

  • Covers the theory, techniques, and tricks of deep learning
  • Taught by renowned experts in the field, including Yann Lecun
  • Hands-on assignments using Lua and Kaggle

Recommendation

This course is highly recommended for anyone interested in the latest advancements in deep learning and its applications in computer vision and natural language processing. It provides a solid foundation in the theory and practical implementation of deep learning models.

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