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marktechpost4y
TensorFlow Introduces ‘PluggableDevice’ Architecture To Integrate Accelerators (GPUs, TPUs) With TensorFlow Without Making Any Changes In The TensorFlow Code - MarkTechPost
TensorFlow introduces the PluggableDevice architecture, which seamlessly integrates accelerators (GPUs, TPUs) with TensorFlow without making any changes in the TensorFlow code.PluggableDevice, as the ...
GitHub3y
Implementation of SOTA Point Cloud Deep Learning Networks Using TensorFlow(TF) 2 or Pytorch - GitHub
Implementation of SOTA Point Cloud Deep Learning Networks Using TensorFlow(TF) 2 or Pytorch ... the paper in which the architecture was originally published where we highlighted the parts needed for ...
GitHub3y
GitHub - ArashHosseini/tf-pose-estimation: Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.
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 ...
IEEE2y
Fused Architecture for Dense and Sparse Matrix Processing in TensorFlow Lite
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 ...
IEEE1y
Architecture of Data Recognition System Using Machine Learning and TensorFlow - IEEE Xplore
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 ...