3 docs tagged with "gradient-descent"

Demystifying the heart of neural network training: The Chain Rule, Gradients, and Error Attribution.

An introduction to derivatives, their definition, rules, and their crucial role in calculating the slope of the loss function, essential for optimization algorithms like Gradient Descent.

Defining the Gradient vector, its mathematical composition from partial derivatives, its geometric meaning as the direction of maximum increase, and its role as the central mechanism for learning in Machine Learning.