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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.
