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Virtual Event : Session 3 - [Udacity] Intro to Deep Learning using PyTorch

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Hosted By
Pragyansmita Nayak, P. and Data Community DC (.
Virtual Event : Session 3 - [Udacity] Intro to Deep Learning using PyTorch

Details

Please note the change - this will be virtual event.

Please use https://us04web.zoom.us/j/326502800?pwd=WjNaZUora0pna0pVL1FBc2s0R1pMZz09

Course #3 -- Intro to Deep Learning using PyTorch (offered free of cost on Udacity). We look forward to your active participation!!

Course Link: https://www.udacity.com/course/deep-learning-pytorch--ud188

IMPORTANT : Please volunteer to facilitate one (or more) of the sections being covered in this meetup.

We kindly request you to keep your RSVP updated if your plans to attend change.

Agenda :
6:00 pm - 7:30 pm : Lessons review

Lessons 4 wrap-up and 5 : Guidelines by George Zoto (thank you for volunteering)
Lesson 6 : Need a volunteer

Thank you, Science Logic, for being a sponsor. This event will be virtual and held online only.

How to Participate? Please register and complete these sections prior to the meetup. Please come prepared with questions, issues with setup of environment, coding questions related to these specific sections.

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Interested in learning more about Deep Learning and one of the most popular frameworks, PyTorch? Join us on 4/2 at 6pm EST on YouTube live where I will go over the basics of PyTorch and train a neural network step by step. We will be using the MNIST and Fashion MNIST datasets for this session.

This is Part 2/2 of this series on the basics of PyTorch.

Feel free to use the hangout chat window for comments or questions. This session is streamed and recorded. Subtitles will become available a few days after the stream.

Links:
PyTorch: https://pytorch.org/
Meetup: https://www.meetup.com/novadeeplearning/events/267795227/
My Code: https://github.com/georgezoto/Deep-Learning-with-PyTorch
YouTube Live Part1/2: https://youtu.be/u0NIzhnuC0Q
YouTube Live Part2/2: To be uploaded

Live webinar link -- https://us04web.zoom.us/j/326502800?pwd=WjNaZUora0pna0pVL1FBc2s0R1pMZz09

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