TensorFlow is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms.
This paper describes both the API design and the system implementation of MXNet, and explains how embedding of both symbolic expression and tensor operation is handled in a unified fashion.
NAMs learn a linear combination of neural networks that each attend to a single input feature.
AutoML serves as the bridge between varying levels of expertise when designing machine learning systems and expedites the data science process.
We present Fashion-MNIST, a new dataset comprising of 28x28 grayscale images of 70, 000 fashion products from 10 categories, with 7, 000 images per category.
Neural machine translation is a recently proposed approach to machine translation.
#14 best model for Machine Translation on IWSLT2015 German-English
Our attack strategy consists in training a local model to substitute for the target DNN, using inputs synthetically generated by an adversary and labeled by the target DNN.