Interactive Demo
Backpropagation Visualizer
Backpropagation Visualizer is a free, interactive learning demo from the Backpropagation course on Lykke. It helps you build intuition for Levenberg–Marquardt (LM) algorithm, Quasi-Hessian matrix, Jacobian matrix storage, Second-order training. Play with it directly in your browser — it features 1 slider and 3 buttons. This demo lives in the “Advanced Optimization and Efficiency” section of the course.
How to use this demo
- Drag the “Input Value” slider to change the inputs and watch the result update live.
- Use the “1. Forward Pass”, “2. Backward Pass”, “Reset” buttons to trigger actions or reset the demo.
- Experiment freely — there's nothing to break, and every change is reversible.
What you'll explore
- Levenberg–Marquardt (LM) algorithm
- Quasi-Hessian matrix
- Jacobian matrix storage
- Second-order training
Frequently asked questions
What does the Backpropagation Visualizer demo do?
Backward Pass Reset Adjust the input and click "Forward Pass" to see how data flows through the network. Backpropagation Visualizer lets you explore this hands-on instead of only reading about it.
What Backpropagation concept does Backpropagation Visualizer teach?
Methods to improve the speed and memory efficiency of backpropagation-based training. It focuses on Levenberg–Marquardt (LM) algorithm, Quasi-Hessian matrix, Jacobian matrix storage, Second-order training from the “Advanced Optimization and Efficiency” section.
What can I control in Backpropagation Visualizer?
The “Input Value” slider change the key inputs; the “1. Forward Pass”, “2. Backward Pass”, “Reset” buttons run actions or reset the demo. Every change updates the visualization in real time, so you can see exactly how each variable affects the outcome.
How does Backpropagation Visualizer fit into the Backpropagation course?
This course provides a comprehensive exploration of Backpropagation, the fundamental algorithm for training neural networks. It covers the historical evolution of the method from its roots in sensitivity analysis and op… This demo is the interactive piece for the “Advanced Optimization and Efficiency” section. Open the full Backpropagation course wiki at https://www.getlykke.com/explore/public/backpropagation-d2b74f25-f27c-4873-a2c7-bead22dc4b22 for notes, flashcards, quizzes and the other demos.
What will I understand better after using Backpropagation Visualizer?
You'll build intuition for Levenberg–Marquardt (LM) algorithm, Quasi-Hessian matrix, Jacobian matrix storage, Second-order training — and, crucially, see how they behave when you change the inputs, which is hard to get from a textbook or lecture on Backpropagation alone.
From the Backpropagation course
This interactive demo is part of the Advanced Optimization and Efficiency section. Explore the full Backpropagation course wiki on Lykke — with notes, flashcards, quizzes and more interactive demos.
Open the Backpropagation course →