Data Augmentation Process Previously, we saw a significant increment in model accuracy. Our model was effectively trained to classify the training data.…
Tag:
pytorch tensors
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MNIST Dataset of Image Recognition in PyTorch In this topic, we will discuss a new type of dataset which we will use…
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Deep Learning Deep learning is a set of algorithms used in Machine Learning. It is a part of machine learning methods based…
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Non-linear Boundary in Deep Neural Network In the perceptron model, we used a linear model to classify two regions of data. Realistic…
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Feature Extraction for Style Transferring After loading the images into memory, we will implement the style transfer. It is necessary to separate…
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One Dimensional Tensors As we know, PyTorch has been embraced by Deep learning world for the ability to conveniently define neural network.…
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Feed Forward Process in Deep Neural Network Now, we know how with the combination of lines with different weight and biases can…
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Optimization process for Style Transferring We have all the three images, and now, we can perform our optimization process. To perform the…
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Gradient Descent in PyTorch Our biggest question is, how we train a model to determine the weight parameters which will minimize our…
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Perceptron Model It is essential to know about the perceptron model and some key terms like cross-entropy, sigmoid gradient descent, and so…