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Welcome to this tutorial on Optimizers in Deep Learning! Optimizers are crucial for training neural networks efficiently—they help adjust model weights to minimize loss and improve accuracy. In this video, we’ll break down:

✅ What are Optimizers?
✅ Gradient Descent & its Variants (Batch, Stochastic, Mini-Batch)
✅ Popular Optimizers: SGD, Momentum, RMSprop, Adam, Adagrad, and more!
✅ How Optimizers Work (Mathematical Intuition)

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