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PyTorch Scholarship Challenge


PyTorch Scholarship Challenge from Facebook


Earn a scholarship to learn how to build, train, and deploy state-of-the-art deep learning models with PyTorch


Learn PyTorch with Facebook


1. Learn valuable skills to launch or advance your career in our data-driven economy

2. Explore world-class curriculum designed for the AI jobs of today, tomorrow and beyond

3. Join the rapidly growing community of deep learning and AI engineers across the globe


How it Works


This scholarship is open to all applicants interested in building their deep learning skill set. Applicants 18 years of age or older are invited to apply. We’ll review all applications and select 10,000 recipients to participate in the Scholarship Challenge Course. This is where your learning begins! You’ll spend 2 months building powerful deep learning models with PyTorch. Top students from the initial Challenge Course will be selected for the Deep Learning Nanodegree program.


Intro to Deep Learning with PyTorch


– Start exploring the world of deep learning and PyTorch in this excellent introductory course.

– Complete hands-on exercises as you absorb the basics of convolutional and recurrent neural networks.

– Stay on track for a great two-month learning experience, and commit to 5-10 hours of study per week.


How to Apply


APPLICATIONS DUE : October 23, 2018 (9pm Pacific Time)

RECIPIENTS NOTIFIED : October 30, 2018 (9am Pacific Time)

RECIPIENTS BEGIN PROGRAM : November 9, 2018 (9am Pacific Time)


The application is for all who want to expand their deep learning knowledge and are at least 18 years of age. The application process, as well as the student experience in the course, will be in English.


About Facebook


Founded in 2004, Facebook’s mission is to give people the power to build community and bring the world closer together. People use Facebook to stay connected with friends and family, to discover what’s going on in the world, and to share and express what matters to them.


About PyTorch


PyTorch is an open source deep learning framework built to be flexible and modular for research, with the stability and support needed for production deployment.


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