Neural architecture search promises to speed up the process of finding neural network architectures that ... along with feature engineering, transfer learning, and hyperparameter optimization.

With the use of proper neural network architecture (number of layers, number of neurons, non-linear function, etc.) along with large enough data, a deep learning network can learn any mapping from ...

Open source deep learning ... tool for network modeling and performance. TensorFlow Serving makes it easy to deploy new algorithms and experiments, while keeping the same server architecture ...

Neural networks are now applied across the ... The key point is the “multiple processing layers,” which enables deep learning software architecture to provide far more robust compute capability.

Within machine learning are neural networks inspired by the brain, and then deep learning. Deep learning algorithms have a particular architecture with many layers that flow through the network.

“Abstract—Large-scale distributed deep learning training has enabled developments of more complex deep neural network models to learn from ... and the opportunity of algorithm-architecture co-design.

Almost two years after the acquisition by Intel, the deep learning chip architecture from ... or what it now calls the Intel Nervana Neural Network Processor (NNP), more details about the hardware ...