Deep Learning in Industry 4.0
Introduction The commercial zone faces new demanding situations and adjustments withinside the surroundings each day, all with restrained resources, which
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Deep Learning
Exploding Gradients in Neural Networks
Introduction Exploding Gradients in Neural Networks is the way and scale calculated during the training of a neural network. It
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Nested sampling algorithm
Introduction The nested sampling algorithm is a computational methodology. It is devised to the Bayesian statistics difficulties of relating models
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Dataset augmentation for Deep Learning
Introduction Dataset augmentation for Deep Learning is the finest way to create a machine learning algorithm. The act of maximum
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Hyperparameters Selection in Deep Learning
Introduction Hyperparameters Selection in Deep Learning plays an important role in deep learning. Maximum deep learning algorithms come with many
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Pooling in convolutional neural network
Introduction Pooling in a convolutional neural network is the third layer. We use a pooling function to adjust the output
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The Chain Rule of Conditional Probabilities
Introduction The Chain Rule of Conditional Probabilities is also called the general product rule. It allows the calculation of any
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