Tutorial-44:RMSProp optimizer explained in detail | Simplified | Deep Learning
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In this video, we dive deep into RMSProp (Root Mean Square Propagation) — one of the most popular optimization algorithms in deep learning. 🚀
You’ll learn:
✅ Why RMSProp was introduced (to fix AdaGrad’s diminishing learning rate problem)
✅ The update rule and how it works step by step
✅ Key hyperparameters like lr, alpha, eps, momentum, and centered explained in simple terms
✅ Comparison with AdaGrad and Adam
✅ Practical intuition on when to use RMSProp (especially for RNNs and non-stationary objectives)
✅ A PyTorch implementation example on sparse data
Whether you’re a beginner in machine learning or looking to strengthen your deep learning fundamentals, this tutorial will give you a clear and practical understanding of RMSProp.
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