An apparatus and method of training a convolutional neural network (CNN) are provided. A
method of training a CNN including a plurality of convolution layers stored in a memory …

(57) ABSTRACT A machine-learning system includes a quaternion (QT) computation
engine. Input data to the QT computation engine includes quaternion values, each …

In an example, an apparatus comprises logic, at least partially including hardware logic, to
implement a lossy compression algorithm which utilizes a data transform and quantization …

An apparatus of operating a neural network is configured to compress one or more of
activations or weights in one or more layer of the neural network. The activations and/or …

(57) ABSTRACT A method for detecting a hotword includes receiving a sequence of input
frames that characterize streaming audio captured by a user device and generating a …

A method for determining optimized deep learning architecture includes receiving a plurality
of training images and a plurality of real time images corresponding to a subject. The …

(57) ABSTRACT A deep neural network (DNN) includes hidden layers arranged along a
forward propagation path between an input layer and an output layer. The input layer …

A method for an artificial neural network includes receiving a set of input values to be
convolved with multiple kernels via multiple computing units. One or more thermally stressed …

A method for classifying tap events on a touch panel includes collecting the tap events on
the touch panel and recording the type of each of the tap events as a sample; generating a …

A deep learning method employs a neural network having three sub-nets to classify and
retrieve the most similar 3D model of an object, given a rough 3D model or scanned images …