18CS71

Decision Tree for Boolean Functions Machine Learning

Download Final Year Projects   [wptelegram-join-channel] Decision Tree for Boolean Functions in Machine Learning – 17CS73 Video Tutorial Decision Tree for Boolean Functions Machine Learning. Draw Decision Tree for logical Functions for the following functions. Solution: Every Variable in Boolean function such as A, B, C etc. has two possibilities that is True and False …

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Gradient Descent Algorithm

Download Final Year Projects   [wptelegram-join-channel] Gradient Descent Algorithm for Artificial Neural Networks in Machine Learning – 17CS73 Video Tutorial Gradient Descent and Delta Rule in ANN Gradient Descent and the Delta Rule is used separate the Non-Linearly Separable data. Weights are updated using the following rule, Where, Gradient Descent Algorithm Gradient descent is an …

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Appropriate Problems for Artificial Neural Networks

Download Final Year Projects   [wptelegram-join-channel] Appropriate Problems for Artificial Neural Networks for Artificial Neural Networks in Machine Learning – 17CS73 Video Tutorial Most appropriate for problems where, Instances have many attribute-value pairs: The target function to be learned is defined over instances that can be described by a vector of predefined features. Target function …

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Perceptron Training Rule for Linear Classification

Download Final Year Projects   [wptelegram-join-channel] Perceptron Training Rule for Linear Classification for Artificial Neural Networks in Machine Learning – 17CS73 Video Tutorial A perceptron unit is used to build the ANN system. A perceptron takes a vector of real-valued inputs, calculates a linear combination of these inputs, then outputs a 1 if the result …

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Concept Learning in Machine Learning

Download Final Year Projects   [wptelegram-join-channel] Concept Learning in Machine Learning – 17CS73 The problem of inducing general functions from specific training examples is central to learning. Concept learning can be formulated as a problem of searching through a predefined space of potential hypotheses for the hypothesis that best fits the training examples. What is …

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