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 ...

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

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 ...

There has been much written about the potential for FPGAs to take a leadership role in accelerating deep learning but in practice ... into the runtime to quickly use different neural network ...

‘Deep learning’ algorithms have received ... (3) Once a neural network is trained, the architecture can be passive, and computation on the optical signals will be performed without additional ...

Based on a unique deep learning ... modern-day deep learning architectures," explains Rui Li, first author and presenter at ...

Machine learning deals with software systems capable of changing in response to training data. A prominent style of architecture is known as the neural network, a form of so-called deep learning.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Not all deep learning systems — that is to say, systems consisting ...