Sequence model based NLP applications can be large. Yet, many applicatio...
Recurrent Neural Networks (RNN) can be difficult to deploy on resource
c...
Recurrent neural networks can be large and compute-intensive, yet many
a...
Recurrent Neural Networks (RNN) can be large and compute-intensive, maki...
Recurrent neural networks (RNNs) have shown state of the art results for...
Machine learning-based applications are increasingly prevalent in IoT
de...
The Winograd or Cook-Toom class of algorithms help to reduce the overall...