Gradient Visualizer for Neural Network Intuition — This tool plots mathematical functions and computes their derivative (gradient) numerically. In neural networks, gradients power backpropagation — gradient descent follows the slope to minimize error.
Function
Presets
Controls
1.00
1.0x
f(x)
gradient
point
Values
x 1.00
f(x) 4.00
f'(x) = Δy/Δx 2.00
(per 1 unit in x, y increases by 2.00)