Tutorial-45:Adam optimizer explained in detail | Simplified | Deep Learning |Telugu

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In this video, we break down Adam (Adaptive Moment Estimation) — the most widely used optimization algorithm in deep learning. 🚀

You’ll learn:
✅ Why Adam is preferred over RMSProp and SGD
✅ The intuition behind momentum (1st moment) and adaptive learning rates (2nd moment)
✅ The full update rule explained step by step
✅ The role of hyperparameters like lr, beta1, beta2, and eps
✅ Bias correction and why it’s important
✅ Practical examples of Adam in PyTorch
Whether you’re new to machine learning or brushing up on deep learning fundamentals, this tutorial will give you the complete picture of Adam Optimizer.
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