Gradient descent | Backpropagation | Loss Functions

Описание: Gradient Descent, Backpropagation, and Loss Functions in Deep Learning! 🚀
In this video, you’ll understand how Gradient Descent optimizes neural networks, how Backpropagation updates weights, and how Loss Functions measure prediction errors. This tutorial explains step-by-step how these three core concepts work together to train deep learning models effectively. Whether you’re a beginner or an AI enthusiast, this Gradient Descent and Backpropagation guide will help you master the fundamentals of Neural Network training. Watch till the end to learn about Loss Functions, optimization algorithms, and how they improve model accuracy.

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