All systems operational
GAN Playground
Generative Adversarial Network — watch the generator vs discriminator battle
Step 0
Data Controls
Customize the training data and parameters
220
Generator
Noise → Fake Image
G
Noise z
→
Fake Image
Generator Loss2.500
Discriminator
Real / Fake Classification
D
Fake
Real
Hidden
Hidden
→
Prediction
50%
FakeDiscriminator Loss1.200
Training Progress
Generator vs Discriminator loss over time
Step 0
Press “Auto Train” or “Step” to begin
Image Evolution
How the generated image changes over training steps
Live