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Become an AI & ML Engineer with Cal Poly EPaCE — IBM-Certified Training
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Dive into a comprehensive tutorial on implementing a perceptron in deep learning using Python from scratch. Learn the step-by-step process across seven parts, covering essential concepts and practical coding techniques. Explore the complete implementation, from basic setup to advanced functionalities, gaining hands-on experience in building this fundamental neural network component. Follow along with provided code samples and explanations to deepen your understanding of perceptrons and their role in machine learning algorithms.
Syllabus
Implementation Of Perceptron Part 2
Implementation Of Perceptron Part 3
Implementation Of Perceptron Part 4
Implementation Of Perceptron Part 5
Implementation Of Perceptron Part 6
Implementation Of Perceptron Part 7
Taught by
Krish Naik