We have data on 11,121 companies that use Keras. The companies using Keras are most often found in United States and in the Information Technology and Services industry. Keras is most often used by companies with 50-200 employees and 1M-10M dollars in revenue. Our data for Keras usage goes back as far as 5 years and 4 months.
|Company||California State University-Stanislaus|
|Company||Red Hat Inc|
|California State University-Stanislaus||csustan.edu||United States||100M-200M||1000-5000|
|NetSuite Inc||netsuite.com||United States||200M-1000M||>10000|
|Red Hat Inc||redhat.com||United States||>1000M||>10000|
|Blackfriars Group||blackfriarsgroup.com||United Kingdom||1M-10M||>10000|
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Machine Learning. By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the Machine Learning category, Keras has a market share of about 22.6%. Other major and competing products in this category include:
Keras is a high-level neural networks API, written in Python and capable of running on top of either TensorFlow, CNTK or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.
Looking at Keras customers by industry, we find that Information Technology and Services (19%), Computer Software (13%) and Higher Education (9%) are the largest segments.
46% of Keras customers are in United States, 6% are in India, 5% are in France and 5% are in United Kingdom.
Of all the customers that are using Keras, 26% are small (<50 employees), 39% are medium-sized and 35% are large (>1000 employees).
Of all the customers that are using Keras, a majority (58%) are small (<$50M), 27% are large (>$1000M) and 8% are medium-sized.