Machine Learning Visualizer
An interactive tool to visualize key machine learning concepts
Neural Network
Gradient Descent
Decision Boundary
Performance Metrics
Neural Network Visualization
Network Parameters
Layers
2
6
Neurons per hidden layer
1
8
Activation Function
ReLU
Sigmoid
Tanh
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Gradient Descent Animation
Algorithm Parameters
Learning Rate
0.01
1.00
Function Type
Quadratic (Convex)
Sinusoidal (Non-convex)
Rosenbrock (Banana function)
Play
Pause
Reset
Decision Boundary Visualization
Classification Parameters
Algorithm
Linear Classification
SVM
Neural Network
Dataset
Linearly Separable
Circular
Spiral
XOR
Noise Level
0
0.5
Update Classification
Performance Metrics
Training Parameters
Epochs
10
100
Batch Size
4
8
16
32
64
Optimizer
SGD
Adam
RMSProp
Start Training