Mode:
Training
Active Neurons:
12/12
Dropped Neurons:
0/12
Train Loss:
1.000
Val Loss:
1.000
Loss:
1.000
Accuracy:
50%
How Dropout Works:
âĸ During training, neurons are randomly "turned off"
âĸ Prevents over-reliance on specific neurons
âĸ Reduces overfitting and improves generalization
âĸ During testing, all neurons are active