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Implement a neural network from scratch using Numpy in this hands-on Python tutorial. Dive deep into the intricacies of neural network architecture, learning the step-by-step process of building a functional model without relying on high-level libraries. Gain practical experience and a thorough understanding of the underlying mechanics of neural networks, enhancing your machine learning skills. Access the accompanying GitHub repository for additional resources and code examples to support your learning journey.
Syllabus
Neural Network from scratch - Part 4 (With Python)
Taught by
Aladdin Persson