A novel deep learning neural network for fast-food image classification and prediction using modified loss function

Keyphrases

• Processing Time 100%
• Fast Food 100%
• Deep Convolutional Neural Network (deep CNN) 100%
• Deep Learning Neural Network 100%
• Modified Loss Function 100%
• Image Prediction 100%
• Food Image Classification 100%
• Evaluation Metrics 66%
• Prediction Accuracy 33%
• Classification Accuracy 33%
• Feature Extraction 33%
• Heart Disease 33%
• Neural Network 33%
• Loss Function 33%
• Deep Learning Methods 33%
• Health Condition 33%
• Image Classification 33%
• Cost Function 33%
• Softmax 33%
• Obesity Diabetes 33%
• Classification Phase 33%
• Classification Results 33%
• Deep Neural Network 33%
• Probability Score 33%
• Pooling Layer 33%
• Total Execution Time 33%
• Convolutional Layer 33%
• Fully Connected Layer 33%
• Loss of Regularity 33%
• Food Image 33%
• Dietary Assessment 33%
• Entropy Cost 33%
• Cross-entropy 33%
• Convolutional Neural Network Algorithm 33%

Food Science

• Fast Food 100%
• Nutrition Assessment 50%