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Twin Cities Deep Learning Study Group

Twin Cities Deep Learning Study Group Revenue

Higher EducationFlag of USMinneapolis, Minnesota, United States1-10 Employees

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Twin Cities Deep Learning Study Group revenue & valuation

Annual revenue$85,555
Revenue per employee$86,000
Estimated valuation?$273,776
Total fundingNo funding

Key Contact at Twin Cities Deep Learning Study Group

Flag of US

Yaniv Ben-Ami

Founder

Company overview

HeadquartersMinneapolis, Minnesota, United States
NAICS6112
Founded2020
Employees1-10
Socials

About Twin Cities Deep Learning Study Group

A community centered around hands-on workshops for learning Keras based on the book "Deep Learning in Python" by François Chollet. But more then just workshops the goal is to provide training, support, and space for the collaborative development of open-source, cutting edge, deep learning technology. We're going to break new ground! You wait and see!

Employees by Management Level

Total employees: 1-10

Seniority

Employees

Founder/Owner

Employees by Department

Twin Cities Deep Learning Study Group has 1 employees across 1 departments.

Departments

Number of employees

Funding Data

Twin Cities Deep Learning Study Group has never raised funding before.

Frequently asked questions

Twin Cities Deep Learning Study Group is located in Minneapolis, Minnesota, US.
Twin Cities Deep Learning Study Group generates an estimated annual revenue of $85,555. This revenue figure reflects the company's market position and business performance in its industry.
Twin Cities Deep Learning Study Group has an estimated valuation of $273,776. This valuation is calculated based on industry-standard revenue multiples and reflects the company's growth potential and market positioning.
Twin Cities Deep Learning Study Group was founded in 2020, making it 6 years old. The company has established itself as a significant player in its industry over this time.
Twin Cities Deep Learning Study Group has approximately 1-10 employees. The company continues to grow its workforce to support its business operations and expansion.

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