Gradient with PyTorch In this section, we discuss the derivatives and how they can be applied on PyTorch. So let starts The…
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vector operation
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Image loading and transformation for Style Transferring in PyTorch After importing all the necessary libraries and adding VGG-19 to our device, we…
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Architecture of Neural Networks We found a non-linear model by combining two linear models with some equation, weight, bias, and sigmoid function.…
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Backpropagation Process in Deep Neural Network Backpropagation is one of the important concepts of a neural network. Our task is to classify…
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Convolutional Neural Network implementation in PyTorch We used a deep neural network to classify the endless dataset, and we found that it…
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Convolutional Neural Network In PyTorch Convolutional Neural Network is one of the main categories to do image classification and image recognition in…
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Creating Dataset of Perceptron Model Now, we will get the knowledge of how to create, learn, and test a Perceptron model. The…
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PyTorch Packages PyTorch is an optimized tensor library for deep learning using CPUs and GPUs. PyTorch has a rich set of packages…
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Gram Matrix for Style Transferring Previously we extracted all the relevant features which we wanted for our content and style images. The…
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Image Recognition Image recognition is a process of extracting meaningful information, such as the content of an image, from a given image.…