Skymind
- Deep Learning
- 3 Case Studies
Skymind makes tools for prediction, data analytics and machine perception available to all businesses via open-core deep-learning.
Skymind is an open-source, enterprise deep-learning provider based in San Francisco, California. We help large corporate teams build deep-learning applications for media, images and sound and time series data for finance, healthcare, telecommunications and the Internet of Things.
We're a team of deep-learning specialists and Java engineers, and the proud creators of the world's first open-source, distributed, commercial-grade deep-learning framework: Deeplearning4j.org.
- https://www.skymind.ai
- Headquarters San Francisco, CA
- Year Founded 2014
- Current Funding $17.8M
- Company Size 11-50 employees
- Specialties Technology & Internet, Deep Learning, Natural Language Processing, Computer Vision, Business Intelligence , Data Resources & Management
Case Studies
Case Study : Supply Chain & Logistics
Increasing the Efficiency of Supply Chains
Case Study : Orange Silicon Valley | Using Neural Networks To Stop Telecom Fraud
Orange Silicon Valley is working with Skymind to prevent Subscriber Identity Module Box (SIM box) fraud on its mobile network.
Case Study : Image Recognition | Using Neural Networks To Label And Cluster Image And Video
Image Recognition Is a Crucial Component of Smart Appliances, Self-Driving Cars and AdTech. Deep Learning Is the State of the...
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