deep learning


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deep learning

Deep learning is an advanced type of machine learning that is used in applications such as computer vision, self-driving cars and natural language processing. For example, deep learning enables facial recognition to be more accurate, and it allows medical scans to be interpreted without human analysis.

The Layers
In the training phase of a deep learning model, thousands of images of similar objects, such as a car, truck, horse or human, are input as examples. Each image is divided into blocks of pixels, and the blocks are transformed into patterns by an algorithm known as a "convolutional filter." The result of each transformation is handed to another filter and so on, each layer synthesizing the previous and adding a finer interpretation of the original input. These are the so-called "hidden layers" between the input and output of a deep learning model.

The final result is a newly generated algorithm that becomes the "inference engine," which does the actual processing such as identifying an object or making a decision. The greater number of layers in the training phase, the more accurate the inference engine and the better the results. See DLA, AI, machine learning, GAN, neural network and TensorFlow.
References in periodicals archive ?
The rich functionality within the platform leverages Amazon Polly, a text-to-speech service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice, and our powerful and scalable GPU instances.
Sze's research interests include energy-aware signal-processing algorithms and low-power circuit and system design for deep learning, computer vision, autonomous navigation, and image/video processing.
The concept of Deep Learning takes inspiration from the way the human brain works.
0 Stick can be connected to a range of devices such as PCs, laptops and mobile phones, and can enhance their image-based deep learning capabilities to unprecedented levels without them having to tap into a cloud based system.
What they did is come up with a model and fed its deep learning algorithm with data from the Electronic Health Records of 2 million adult and child patients admitted to either Stanford Hospital or Lucile Packard Children's hospital.
Deep Instinct is the first company to apply deep learning to cybersecurity.
As a result, data scientists can build applications faster, ranging from deep learning insights in scientific research, real-time fraud detection, and credit risk analysis.
TOKYO, Dec 12, 2017 - (JCN Newswire) - NEC Corporation (TSE: 6701) today announced it has developed automatic optimization technology for deep learning in order to facilitate improvements in recognition accuracy.
New Tensor Cores designed specifically for deep learning deliver up to 9x higher peak teraflops.
The company's Machine and Deep Learning Ready Bundles are
One Stop Systems (OSS) has launched two powerful GPU accelerators for data scientists and deep learning researchers, the CA16010 and SCA8000.
That is one of the challenges behind perfecting deep learning systems like self-driving cars.