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Backpropagation in Neural Networks Back Propagation Algorithm with Examples Simplilearn

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Course Description

Neural network in machine learning course, in this course we delve into the intricate workings of neural networks, a fundamental concept in machine learning. From understanding the basic architecture to exploring advanced techniques, this course covers it all. Through a combination of theoretical explanations and practical hands-on exercises, you'll gain insight into how neural networks mimic the human brain's computational process. We'll cover topics such as perceptrons, activation functions, feedforward and backpropagation algorithms, as well as various types of neural networks like convolutional neural networks (CNNs) and recurrent neural networks (RNNs). By the end of this course, you'll have a solid understanding of neural networks and be equipped with the knowledge to apply them to solve real-world problems in machine learning. Join us as we unravel the mysteries of neural networks and unleash their potential in the field of machine learning.
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