Building Faster R-CNN on TensorFlow
The widespread adoption of Convolutional Neural Networks (CNNs) has driven progress in deep learning for computer vision, and especially in object...
The widespread adoption of Convolutional Neural Networks (CNNs) has driven progress in deep learning for computer vision, and especially in object...
OpenCL is an open standard that is designed to utilize the computing power provided by GPUs for general computing applications....
Large-scale deep learning models take a long time to run and can benefit from distributing the work across multiple resources....
Containers help improve security, reproducibility, and scalability in software development, data science, and deep learning. Using containers is an excellent...
TensorFlow lets you use deep learning techniques to perform image segmentation, a crucial part of computer vision. There are many...
ResNet won first place in the Large Scale Visual Recognition Challenge (ILSVRC) in 2015. It was the first neural network...
Reinforcement learning is a computational approach used to understand and automate goal-directed learning and decision-making. This article explains the fundamentals...
Convolutional Neural Networks (CNN) are the foundation of implementations of deep learning for computer vision, which include image classification. TensorFlow lets...
Image classification algorithms, powered by Deep Learning (DL) Convolutional Neural Networks (CNN), fuel many advanced technologies and are a core research...
Modern Computer Vision technology, based on AI and deep learning methods, has evolved dramatically in the past decade. Today it...
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