And that's what deep neural networks are trying to do as well.

The cross entropy loss is ubiquitous in modern deep neural networks.

A deep neural network copies this arrangement.

The company has used deep neural networks to improve the error rate of existing speech recognition by around 15 per cent – hugely significant.

Deep neural networks are arranged in layers.

Deep neural networks can be potentially improved if they get deeper and have fewer parameters, while maintaining trainability.

Instead, AlphaGo uses a novel mix of deep neural network machine learning, and tree search techniques.

When sounds or images were fed into the bottom layer of a deep neural network, the data set off a cascade of firing activity.

The researchers used game worlds created in Evennia to teach an AI deep neural network to play.

Microsoft's senone identifier relies on deep neural networks, a mathematical technique inspired by the human brain.

Convolutional deep neural networks (CNNs) are used in computer vision where their success is well-documented.

Similar to shallow artificial neural networks, deep neural networks can model complex non-linear relationships.

Deep neural networks are generally interpreted in terms of: Universal approximation theorem or Probabilistic inference.

First, Hinton and his team figured out a better way to map out deep neural networks - networks that make many different layers of connections.

An Introduction to Deep Neural Networks.

Deep Neural Networks for Object Detection.

In DeepQ they combined deep neural networks with "reinforcement-learning", which is the way that all animals learn, via the brain's dopamine-driven reward system.

Skymind's deep neural networks are able to perform dimensionality reduction, classification, regression, collaborative filtering, feature learning and topic modeling.

Cats convey their presence in many ways, for example, but deep neural networks pool the different correlations and compress them into the form of a single neuron.

Skype Translator was built on developments in deep neural networks for speech recognition and Microsoft Translator's statistical machine translation technology.

Deep Neural Networks and Denoising Autoencoders are also being experimented with to tackle this problem in an effective manner.

As of 2010, his group has the best results on benchmarks in automatic handwriting recognition, obtained with deep neural networks and recurrent neural networks.

It uses Monte Carlo tree search, guided by a "value network" and a "policy network", both implemented using deep neural network technology.

A deep neural network is an artificial neural network with multiple hidden layers of units between the input and output layers.

The three possible replies are generated by a deep neural network geared for natural language processing-basically a high-tech chatbot powered by the Google Cloud.