Preparing Data
Collect and preprocess data to create a suitable dataset.
Model Selection
Choose the appropriate deep learning architecture for the task.
Training the Model
Utilize algorithms like backpropagation to optimize model performance.
Evaluation and Fine-tuning
Assess model accuracy and adjust parameters for better results.
Deployment
Implement the trained AI model for practical use in various applications.