Testing of Deep Neural Network in PyTorch We will plot our dataset with a precise decision boundary which will separate our categorical…
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pytorch tensors
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Installation of PyTorch For installation, first, you have to choose your preference and then run the install command. You can start installation…
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Testing of Image Recognition Model in PyTorch In the last section, we implemented a neural network or created a model which classified…
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What is Pytorch? PyTorch is a small part of a computer software which is based on Torch library. It is a Deep…
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Testing of LeNet Model for CIFAR-10 Dataset In the previous topic, we found that our LeNet Model with Convolutional Neural Network was…
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Linear Regression Linear regression is a way to find the linear relationship between the dependent and independent variable by minimizing the distance.…
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Testing of Perceptron Model The purpose of the perceptron model is to classify our data and tell us about the chances of…
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Loss Function in PyTorch In the previous topic, we saw that the line is not correctly fitted to our data. To make…
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Creating Data Model using Custom Module There is another way to find the prediction. In the previous section, we find the prediction…
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Mean Squared Error Mean Squared Error is calculated in much the same way as the general loss equation from earlier. We will…