How many employees does TensorFlow User Group (TFUG) have?

TensorFlow User Group (TFUG) has 36 employees.

What industry does TensorFlow User Group (TFUG) belong to?

TensorFlow User Group (TFUG) is in the industry of: Information Technology & Services, Research, Software Development.

What are TensorFlow User Group (TFUG)'s official social media profiles?

TensorFlow User Group (TFUG) Linkedin Page TensorFlow User Group (TFUG) Twitter Page

What are TensorFlow User Group (TFUG)'s office addresses?

TensorFlow User Group (TFUG) has 5 known office addresses: Brandschenkestrasse 110, Hürlimann Areal, CH 1600 Amphitheatre Parkway, Mountain View, California, 94043, US 111 8th Ave, New York City, NY, 10011, US 4th Floor, Tower E, RMZ Infinity, No. 3, Swamy Vivekananda Rd, Sadanandanagar, Bennigana Halli, IN 4th Floor, Tower E, Rmz Infinity, No. 3, Swamy Vivekananda Rd, Sadanandanagar, Bennigana Halli, Bangalore, Karnataka 560016, In.

What is TensorFlow User Group (TFUG)'s estimated annual revenue?

TensorFlow User Group (TFUG)'s revenue is $382,000

What is TensorFlow User Group (TFUG)'s open headcount?

TensorFlow User Group (TFUG) has no job postings yet.

What is the number of ad campaigns for TensorFlow User Group (TFUG)?

TensorFlow User Group (TFUG) has no advertisements yet.

What is the number of recent news articles about TensorFlow User Group (TFUG)?

TensorFlow User Group (TFUG) has 8 news articles.

TensorFlow User Group (TFUG) - Pubrio Company Profile & Intent

TensorFlow User Group (TFUG)

India · Information Technology & Services

Information Technology & Services

Research

Software Development

TensorFlow User Group (TFUG) is a non-profit research community for Data Science, Artificial Intelligence and Machine Learning professionals, academics and practitioners. TensorFlow is an end-to-end open-source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.