Learn & drop: Fast learning of cnns based on layer dropping

INIS

• layers 100%
• learning 100%
• operation 66%
• accuracy 66%
• applications 33%
• reduction 33%
• efficiency 33%
• range 33%
• neural networks 33%
• speed 33%
• architecture 33%
• tuning 33%
• data 33%
• depth 33%

Computer Science

• Model 100%
• Forward Propagation 66%
• Residual Neural Network 66%
• Accuracy 66%
• Deep Convolutional Neural Networks 33%
• Speed-up 33%
• Propagation Phase 33%
• Convolutional Neural Network 33%
• Application 33%
• Backpropagation 33%

Keyphrases

• Cnns 100%
• VGG11 50%
• ResNet-152 50%
• Continue Learning 50%