What is Learning Rate in AI?

Описание: In this short video, we break down the concept of Learning Rate in machine learning and deep learning. The learning rate determines how fast or slow an AI model updates its parameters. Choosing the right learning rate is crucial for optimizing performance and accuracy.

🔹 High Learning Rate: Faster updates but risk of overshooting the optimal solution.
🔹 Low Learning Rate: Slow but more precise, though it might get stuck in a local minimum.

⚡ Why is it important?
If the learning rate is too high, the model might never converge. If it’s too low, training could take forever! Finding the perfect balance is key to building efficient AI models.

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