Flowers

DataHour: Introduction to Tensorflow Javascript

Online 18-06-2022 03:00 PM to 18-06-2022 04:00 PM
  • 4563

    Registered

  • Knowledge and Learning

    Prizes

DataHour Recording

About the DataHour:

Deep learning has been doing wonders for years but still some developers find it difficult to learn or implement in practice. Comes TensorFlow JS to rescue! TF JS introduces the wonderful world of Deep learning and makes it easy to do Deep learning in browsers. But the session isn't just going to be about TF js. 

In this DataHour, Umang Sharma will start with basics of Deep learning and then proceed on to see real cool live Deep learning fun demos, and later how TF js does it and much more. If you are a developer and wondered how Deep learning worked and how you can include Deep learning in your web-apps this talk is for you!

Prerequisites: Enthusiasm for learning Deep Learning and Data Science.

Who is this DataHour for?

  • Students and Freshers with an interest in Data Science.

Speaker

Umang Sharma

Senior Data Scientist at TomTom

Umang is a Senior Data scientist with years of experience building Deep learning solutions in multiple areas of Computer vision, Natural Language Processing, Reinforcement learning and few more. He has developed some of the cutting edge AI solutions in multiple industries such as Finance, Power, Retail and currently works for a leading tech product firm.

He has been National Science Academies’ Summer Research fellow while aged 19 years old. Umang has also been an active speaker in the AI community as well as keynote speaker in multiple national and international conferences. With his talks/lectures he has imparted ML knowledge to 2000+ participants, most recently he was an invited speaker at Indian institute of Management. He is also one of the earlier contributors to Google colab (then called Google datalab). Umang is one of early adopters of TensorFlow JS and has spoken about it in various conferences including Google DevFest and has even authored a book on TF JS!

You can follow him on Linkedin and Twitter.

ALT

Please register/login to participate in the contest

Please register to participate in the contest

Please register to participate in the contest

Closed

Support

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy.

Feedback

We believe in making Analytics Vidhya the best experience possible for Data Science enthusiasts. Help us by providing valuable Feedback.