Custom Model Training and Fine-tuning

Master the process of training and fine-tuning AI models: • Data Preparation - Dataset collection and curation - Data cleaning and preprocessing - Data augmentation techniques • Model Training - Training pipeline setup - Hyperparameter optimization - Cross-validation strategies - Transfer learning • Model Fine-tuning - Techniques for improving accuracy - Handling overfitting - Performance optimization - Model evaluation metrics • Deployment Preparation - Model compression - Quantization - Optimization for production