Computer Science
Deep Transfer Learning
100%
VGG-16
85%
Convolutional Neural Network
42%
Binary Classification
28%
Neural Network Model
14%
Research Effort
14%
Classification Accuracy
14%
Training Model
14%
Training Process
14%
Multi Class Classification
14%
Multiclass Classification
14%
Class Classification
14%
Programming Language
14%
Data Augmentation
14%
Adam Optimizer
14%
Validation Process
14%
Multiclass Case
14%
Learning Rate
14%
Sample Dataset
14%
Image Rotation
14%
Cross Entropy Loss Functions
14%
Classification Task
14%
Key Performance Indicator
14%
Earth and Planetary Sciences
Model Test
100%
Image Rotation
100%
Language Programming
100%
Engineering
Transfer Learning
100%
Convolutional Neural Network
42%
Network Model
14%
Key Performance Indicator
14%
Process Validation
14%
Loss Function
14%
Classification Accuracy
14%
Binary Classification Task
14%
Multiclass Classification
14%
Batch Size
14%
Model Test
14%
Physics
Convolutional Neural Network
100%