Grasp Deep Studying, Transformers, MLOps & AI Agent Improvement with Actual-World Initiatives
What you’ll be taught
Tune and optimize machine studying fashions utilizing superior methods
Construct and prepare CNNs for picture classification and laptop imaginative and prescient duties
Develop RNNs, LSTMs, and GRUs for time collection and sequence modeling
Perceive and implement transformers and a focus mechanisms
Apply switch studying to fine-tune highly effective pre-trained fashions
Design and analyze AI brokers for autonomous decision-making
Use TensorFlow and PyTorch for deep studying tasks
Deploy fashions utilizing MLOps instruments like Docker, MLflow, and CI/CD pipelines
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