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Full-stack approach for effective AI agents

Practical AI

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Theoretical Foundations of Deep Learning and AI Development

This chapter delves into the theoretical principles that underpin deep learning, highlighting their role in building effective AI agents. It also examines research on parameterization, explainability, and training methods, while comparing the evolution of machine learning theories to historical advances in physics.

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