Style Transferring in TensorFlow Neural Style Transfer (NST) refers as a class of software algorithm manipulate digital images, or videos, or adopt…
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Tensorflow Tutorial
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TensorFlow Forming Graphs A Partial differential equation (PDE) is the primary type of differential equation, which involves partial derivative with the unknown…
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Difference between TensorFlow and Theano Researchers in the deep learning domain use TensorFlow and Theano, and more often than not, are compared…
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Advantage and Disadvantage of TensorFlow TensorFlow is an open-source machine learning concept which is designed and developed by Google. It offers a…
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Gram Matrix The Gram Matrix arises from a function in a finite-dimensional space; the Gram matrix entries are then the inner products…
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Working of Style Transferring Neural style transfer is the optimization technique used to take two images- a content image and a style…
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Artificial Neural Network in TensorFlow Neural Network or artificial neural network (ANN) are modeled the same as the human brain. The human…
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What is TensorFlow? TensorFlow is a popular framework of machine learning and deep learning. It is a free and open-source library which…
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MNIST Dataset in CNN The MNIST (Modified National Institute of Standards and Technology) database is a large database of handwritten numbers or…
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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…