However, training deep learning models requires a great deal of computing power. ... The favored high-level API for TensorFlow is Keras, which can also be used with other back-end frameworks.

At the same time, just down the coast, Nvidia is firming up the market for its own GPU training and inference chips as well as its own hardware outfitted with the latest Pascal GPUs and requisite deep ...

The deep learning frameworks (e.g, TensorFlow, PyTorch, MxNet) together with NVIDIA software libraries offer a high-level programming interface, which abstracts hardware and makes building neural ...

Machine learning frameworks like Google’s TensorFlow ease the process of acquiring data, training models, serving predictions ... ways to express and couple high-level abstractions.

Deep learning is often compared to the brains of humans and animals.However, the past years have proven that artificial neural networks, the main component used in deep learning models, lack the ...