TensorFlow introduces the PluggableDevice architecture, which seamlessly integrates accelerators (GPUs, TPUs) with TensorFlow without making any changes in the TensorFlow code.PluggableDevice, as the ...

For TensorFlow optimized on Intel architecture, this script also allows you to set up Intel® Math Kernel Library (Intel® MKL) related environment settings. Execute the following commands: ...

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference. ... Same architecture as the cmu version except for the depthwise separable convolution of mobilenet. I ...

The book concludes with a variety of practical projects to generate music, images, text, and speech using the methods you have learned in prior sections, piecing together TensorFlow layers, utility ...

Abstract: In this article, we present a hardware architecture optimized for sparse and dense matrix processing in TensorFlow Lite and compatible with embedded-heterogeneous devices that integrate ...

Architecture of tools used analyze the image recognition, their functionalities and why python is commonly used for processing large amounts of data like TensorFlow and Keras. This study analyses both ...