What is Deep Learning?
Deep learning powers many of the recent advancements in speech recognition, image analysis, and language processing.
Deep Learning is an advanced form of machine learning that models high-level abstractions in data using unsupervised or semi-supervised feature learning and hierarchical feature extraction.
What that means is that Deep Learning excels at discovering the essential parameters of an algorithm from the data. It can work with the raw data or minimally engineered features, and is able to model relationships among inputs that a human cannot describe and analyze.
Deep Learning at Frameweld
We bring years of Deep Learning experience to the table. We have created proprietary libraries and related algorithms that leverage advanced Deep Learning techniques. We have deployed Convolutional Neural Networks for challenging tasks including speech analysis with outstanding results.
Frameweld's Deep Learning technology is at the core of its SyncWords product. SyncWords is a disruptive technology for closed caption automation, which not only reduces time and cost but improves caption quality.
Working on challenging broadcast and film content, SyncWords performed 5 times better on timing automation tasks than competitors, including Google.
Highlights
Superior
Using our proprietary deep learning technology and services, we can help you build robust models customized to your data and internal requirements, which are not possible using conventional open source libraries or plug-and-play tools.
Scalable
Our Deep Learning software leverages the cloud and affordable GPUs for efficient parallelization of computationally intensive tasks, reducing the time to train, test, and iterate.
Flexible
Our models are easy to adapt to problems in any domain because unlike traditional machine learning approaches, our models learn to extract discriminative features from the input using the provided training data, instead of using hand-engineered feature extractors.
