Backpropagation Visualizer

Step through forward pass, loss computation, backward pass, and weight updates in a 2-2-1 neural network

Inputs & Target

Input x1
0.60
Input x2
0.40
Target
1.00
Learning Rate

Step Controls

Forward Pass
Compute LossStep 2
Backward PassStep 3
Update WeightsStep 4

Loss (MSE)

L = - (y_ - t) -

0.000000

Stats

Epoch 0

Prediction

0.0000

Error

-1.0000

Network Diagram2 — 2 — 1 - Sigmoid - MSE

-0.016-0.354-0.502-0.7670.308-0.442x10.600x20.400h10.000b=0.681h20.000b=-0.085y0.000b=0.302InputHidden (s)Output (s)

Legend

Input
Hidden (Sigmoid)
Output (Sigmoid)
›w > 0
›w < 0

What is Backpropagation Visualizer?

Backpropagation Visualizer is a free online tool for students and developers learning AI — handy for seeing how errors flow backward and weights update step by step. It runs fully in your browser: fast, private and free forever, with no account needed.

How to use Backpropagation Visualizer?

Step 1: Use the live controls in the tool above — it runs on this page. Step 2: Add your data or settings as the screen prompts. Step 3: Run the tool, then copy or download the result. Everything happens locally in your browser, so large inputs stay private.

Frequently Asked Questions — Backpropagation Visualizer

Is Backpropagation Visualizer free to use?

Yes — Backpropagation Visualizer is a free online tool by DSWallah. No signup, no install, no limits for normal use. It runs entirely in your browser.

Do I need to install anything for Backpropagation Visualizer?

No. Backpropagation Visualizer works online in Chrome, Edge, Firefox or Safari on mobile and desktop. Your data never leaves your device.

Who should use Backpropagation Visualizer?

Backpropagation Visualizer is built for students and developers learning AI — useful for seeing how errors flow backward and weights update step by step. DSWallah students use it daily in our AI Course and Gen AI Course batches.

Learn the skill behind the tool: AI Course in Lucknow · Gen AI Course

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