Have you ever wondered how deep learning models work under the hood? Instead of relying on pre-built frameworks like TensorFlow or PyTorch, letβs take a deep dive and build a neural network from scratch using only NumPy!
π₯** What Youβll Learn:**
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The mathematical foundations of neural networks
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Forward and backward propagation without any high-level libraries
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Implementing activation functions, weight updates, and gradient descent
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How deep learning works at the lowest level
This hands-on approach will give you an in-depth understanding of AI and make you a better machine learning engineer!
π‘ Ready to code? Drop a "π₯" in the comments if you want the full step-by-step breakdown!
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