OpenCL is an open standard that is designed to utilize the computing power provided by GPUs for general computing applications. While both AMD and NVIDIA are major vendors of GPUs, NVIDIA is...

Large-scale deep learning models take a long time to run and can benefit from distributing the work across multiple resources. TensorFlow can help you distribute training across multiple CPUs or GPUs. We’ll...

Containers help improve security, reproducibility, and scalability in software development, data science, and deep learning. Using containers is an excellent way to create easy-to-deploy, repeatable environments for your deep learning projects. With...

TensorFlow lets you use deep learning techniques to perform image segmentation, a crucial part of computer vision. There are many ways to perform image segmentation, including Convolutional Neural Networks (CNN), Fully Convolutional...

ResNet won first place in the Large Scale Visual Recognition Challenge (ILSVRC) in 2015. It was the first neural network not affected by the “vanishing gradient” problem. TensorFlow makes it easy to...

Reinforcement learning is a computational approach used to understand and automate goal-directed learning and decision-making. This article explains the fundamentals of reinforcement learning, how to use Tensorflow’s libraries and extensions to create...

Convolutional Neural Networks (CNN) are the foundation of implementations of deep learning for computer vision, which include image classification. TensorFlow lets you build CNN architectures with tremendous flexibility, for tasks like image classification...

Image classification algorithms, powered by Deep Learning (DL) Convolutional Neural Networks  (CNN), fuel many advanced technologies and are a core research subject for many industries ranging from transportation to healthcare. If you want...

Modern Computer Vision technology, based on AI and deep learning methods, has evolved dramatically in the past decade. Today it is used for applications like image classification, face recognition, identifying objects in...