TensorFlow DevSummit Extended Kathmandu
Posted By: Eena's Store On Wednesday, February 15, 2017
We're thrilled to announce that Google is hosting the very first
TensorFlow Dev Summit which will take place on February 15th, 2017 -
10:00 AM PST(6:00 PM GMT+0) in Mountain View, California. GDG Birgunj's
Extended Event will take place at Kathmandu (up to 50 seats) and with a
potentially speakers and post streaming season.....
Organized By: GDG Birgunj
Supported By: GDG Kathmandu
Sponsored By: Google
Facilitated By: Api Technology Pvt. Ltd.
Time: 11:00 AM onwards
Date: 18 Feb 2017
Venue: The Hut Maitighar, Kathmandu
Registration is 100% Free.
Official Page: https://developers.google.com/events/6224484266409984/
Register Now: https://goo.gl/forms/IE17vZAmEQ43Po5P2
Agendas:
11:00-11:15 Registration
11:15-12:15 Video Streaming
12:15-12:45 #tfdevsummit Summary
12:45-01:15 Mobile & Embedded Tensorflow (Machine Learning)
01:15-01:45 Google & TensorFlow/Machine Learning
01:45- 02:30 Lunch Break & Networking Session
02:30-03:00 Machine Learning Tools & Technique (#Python)
03:00-03:30 Intel & It’s Drones Technology #MachineLearning
Note: Agendas Might slightly differ in accordance to the intrest as seen in the attendees.
Free Tea/Snacks and Swags will be provided.
Organized By: GDG Birgunj Supported By: GDG Kathmandu
Sponsored By: Google
Facilitated By: Api Technology Pvt. Ltd.
Time: 11:00 AM onwards
Date: 18 Feb 2017
Venue: The Hut Maitighar, Kathmandu
Registration is 100% Free.
Official Page: https://developers.google.com/events/6224484266409984/
Register Now: https://goo.gl/forms/IE17vZAmEQ43Po5P2
Agendas:
11:00-11:15 Registration
11:15-12:15 Video Streaming
12:15-12:45 #tfdevsummit Summary
12:45-01:15 Mobile & Embedded Tensorflow (Machine Learning)
01:15-01:45 Google & TensorFlow/Machine Learning
01:45- 02:30 Lunch Break & Networking Session
02:30-03:00 Machine Learning Tools & Technique (#Python)
03:00-03:30 Intel & It’s Drones Technology #MachineLearning
About TensorFlow
TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.Free Tea/Snacks and Swags will be provided.