what is tensorflow

Style Transferring in TensorFlow Neural Style Transfer (NST) refers as a class of software algorithm manipulate digital images, or videos, or adopt…

TensorFlow Forming Graphs A Partial differential equation (PDE) is the primary type of differential equation, which involves partial derivative with the unknown…

Difference between TensorFlow and Theano Researchers in the deep learning domain use TensorFlow and Theano, and more often than not, are compared…

Advantage and Disadvantage of TensorFlow TensorFlow is an open-source machine learning concept which is designed and developed by Google. It offers a…

Gram Matrix The Gram Matrix arises from a function in a finite-dimensional space; the Gram matrix entries are then the inner products…

Working of Style Transferring Neural style transfer is the optimization technique used to take two images- a content image and a style…

Artificial Neural Network in TensorFlow Neural Network or artificial neural network (ANN) are modeled the same as the human brain. The human…

What is TensorFlow? TensorFlow is a popular framework of machine learning and deep learning. It is a free and open-source library which…

MNIST Dataset in CNN The MNIST (Modified National Institute of Standards and Technology) database is a large database of handwritten numbers or…

CIFAR-10 and CIFAR-100 Dataset in TensorFlow The CIFAR-10 (Canadian Institute for Advanced Research) and CIFAR-100 are labeled subsets of the 80 million…