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Deep Learning
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What is Deep Learning?
Inspired by the most powerful computer out there, the human brain, deep learning lets you extract more meaningful insights from images and video faster than ever before.
Deep learning is a type of machine learning that teaches computers how to learn like humans: through the use of deep (multi-layered) neural networks. Similarly to our brains, this technology enables computers to continuously pick up signals from the physical world and uncover new insights—sometimes even discovering things not directly taught through formal instruction.
It powers a growing amount of automation surrounding us today. While we may not realize it, applications like voice-enabled assistants on our cell phones and fraud detection on our credit cards are powered by this foundational technology. In fact, once you start to understand deep learning applications, you'll start seeing them everywhere!
The Deep Learning Revolution
The foundations of deep learning were first established in the 1960s.
However, only recent advances in cloud computing and hardware, coupled with the rise of big data, have led to the widespread proliferation of deep learning applications.
Today, deep learning has allowed the world to re-imagine how computers and humans can work together, transforming workflows across virtually every industry—from automating quality control on the factory production line to quantifying property damage to entire neighborhoods after a natural disaster. In fact, a growing consensus amongst experts maintains that organizations that learn how to successfully integrate this technology into key business processes today will be the leaders of tomorrow.
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Deep Learning and Computer Vision
CrowdAI are highly specialized experts in computer vision, a field that uses deep learning to answer questions from all forms of imagery and video such as:
Classification
Object Detection
Segmentation
Keypoints
CrowdAI is on the cutting edge of deep learning.
Founded in 2016, our platform's proprietary neural networks were built from the ground up by our internal research team. From our inception, we have served as thought partners to AI research centers across the US Government. Our sustained academic partnerships and research teams ensure that we are productizing new findings for our customers at the speed of innovation, far beyond current industry standards.
Our team of doctoral researchers and engineers includes graduates of top universities, such as Stanford, Oxford, Columbia, CalTech, and New York University.
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Multi-class segmentation under severe class imbalance: A case study in roof damage assessment
Deep Learning Library
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