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Schedule (12PM - 5PM) :

12:00PM - 12:20PM : [Lightning Talk] What's new in ML/DL ?

12:20PM - 12:45PM : [Lightning Talk] Intro to Neural Networks by Daksh Miglani

12:45PM - 1:30PM : Intro to Adversarial Machine Learning by Prabhant Singh

1:30PM - 2:15PM : Intro to PyTorch by Madhur Tandon

2:15PM - 3:00PM : Snacks and Break

3:00PM - 3:45PM : Anatomy of Deep Learning Frameworks by Rishikesh

3:45PM - 4:15PM : Surprise for attendees from PyData

4:15PM - 5:00PM : Networking

People who would like to volunteer to PyData Delhi, please stay for a while after the meetups ends !

Note: Please keep your RSVP up to date, it is a very nice thing to do! Most likely, we won't be able to entertain more than the max RSVP limit !

Logistics:

• Venue map : https://goo.gl/maps/b85rvphFPnv

• Nearest Metro Station : Saket (Yellow Line)

Doors open at 11:45 AM, talks start at 12 PM.

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Please unRSVP if you realise you can't make it. We're limited by space on number of attendees, so please free up your place for your fellow community members!

Follow @pydatadelhi ( http://twitter.com/pydatadelhi ) for updates and early announcements. See you on the 9th!

We're on Telegram. Join us for early updates and discussions here ( http://bit.do/joinpydd )

Share your Lightning Talks! A "lightning talk" is a quick mini-presentation (5 minutes maximum) on any Python topic you'd like. We'll save time for 2-3 of these each month: to save a spot, post a comment with your talk's title/topic. Beginner topics are always welcome!

Presentations: If you'd like to share a topic with the group at an upcoming meetup, propose a talk here ( https://github.com/pydatadelhi/talks ) :)

Contact:
Message us through the message tab on the meetup page, or ping either of these people directly:

• Sanket Verma : +918860391089
• Arsh: +918527504685
• Laksh: +919871569215

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Sponsors

NumFOCUS

NumFOCUS

Promoting accessible and reproducible computing in science & technology

Google

Google

Food Sponsorship

Microsoft

Microsoft

Venue Sponsorship

SocialCops

SocialCops

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