Have you ever wondered how deep learning models work under the hood? Instead of relying on pre-built frameworks like TensorFlow or PyTorch, let’s take a deep dive and build a neural network from scratch using only NumPy!
🔥** What You’ll Learn:**
✅ The mathematical foundations of neural networks
✅ Forward and backward propagation without any high-level libraries
✅ Implementing activation functions, weight updates, and gradient descent
✅ 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!
💡 Ready to code? Drop a "🔥" in the comments if you want the full step-by-step breakdown!
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