Data is input to one of a plurality of neural networks. Each of the plurality of neural networks
is to be of a different size. A propagation time is determined for the inputted data. The …

US10621486B2 - Method for optimizing an artificial neural network (ANN) - Google Patents
US10621486B2 - Method for optimizing an artificial neural network (ANN) - Google Patents …

(57) ABSTRACT A method for selecting bit widths for a fixed point machine learning model
includes evaluating a sensitivity of model accuracy to bit widths at each computational stage …

Abstract Systems and methods may automatically generate code for deep learning
networks. The systems methods may provide a code generation framework for generating …

A mechanism is described for facilitating inference coordination and processing utilization
for machine learning at autonomous machines. A method of embodiments, as described …

Embodiments are provided for analyzing and characterizing video data. According to certain
aspects, an analysis machine may analyze video data and optional audio data …

Methods, systems, and apparatus, including computer programs encoded on computer
storage media, for identifying an object from a video. One of the methods includes obtaining …

(57) ABSTRACT A deep neural network (“DNN”) module compresses and decompresses
neuron-generated activation data to reduce the utilization of memory bus bandwidth. The …

A method of generating a fixed-point type neural network by quantizing a floating-point type
neural network, includes obtaining, by a device, a plurality of post-activation values by …

Methods, systems, and computer program products for multi-modal construction of deep
learning networks are provided herein. A computer-implemented method includes …