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Understanding Generative Models and Applications

Generative Models are a form of unsupervised learning models and the outcome goal is to generate new data points by understanding underlying distributions of data points in the dataset. After the deep learning
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Multiclass Classification on Highly Imbalanced Dataset

Introduction Multiclass classification is a classification problem where more than two classes are present. It is a fundamental machine learning task which aims to classify each instance into one of
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Comparison of Sigmoid, Tanh and ReLU Activation Functions

Introduction In Artificial Neural network (ANN), activation functions are the most informative ingredient of Deep Learning which is fundamentally used for to determine the output of the deep learning models. In this
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Motion Detection with Path Tracking

Motion detection in a video footage has always been an interesting topic among the Machine Learning enthusiasts. It has many purposes. Motion detection can be used for automatic video analysis
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