What does it take to build a good enough CNN model ?

This question came up during class. There is no direct answer. It depends on domain / data / use case / number of classes. Guidelines of recommendations are

• Number of Layers of convolution, Experiment with VGG16 / 19 to get started
• Balacing imbalanced datasets
• Depth of Layers - 32/ 64/ 256 as needed
• Relu, Experiment, Customize on activation functions
• Adjusting learning rates / Loss functions
• Early Stopping / Dropouts for regularization
• Domain Relevant Augmentation
• Transfer Learning Approach

Keep Thinking!!!