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Patrik Szepesi

Packt Expert

Patrik Szepesi

Patrik Szepesi is a senior machine learning engineer with experience in academia, finance, and technology. He has contributed to projects in autonomous vehicles and healthcare, and his research has been published in leading scientific journals.

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Categories
Technology & Engineering, Data Science & Machine Learning, Deep Learning Architectures & Frameworks, Python

1 Course by Patrik Szepesi

Cover image for Mathematics Behind Backpropagation | Theory and Python Code

Mathematics Behind Backpropagation | Theory and Python Code

Unlock the Mathematics and Code Behind Neural Networks and Backpropagation

Gain a deep understanding of how neural networks learn by exploring the mathematics behind backpropagation. Learn to apply concepts like gradients and gradient descent, and put theory into practice by coding your own neural network from scratch in Python.

Packt | 2026 | 277 min

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