Understanding the fundamentals of neural networks
Guidance on choosing the right neural network architecture for a specific problem
Training neural networks using various optimization algorithms
Understanding different types of neural network layers and their applications
Debugging and troubleshooting neural network models
Applying transfer learning and fine-tuning pre-trained models
Utilizing neural network frameworks and libraries effectively
Keeping up to date with the latest advancements in neural network research