Deep dive into TensorFlow’s multi-level APIs — mastering everything from raw ops to custom layers and high-level Keras models. Showcases building flexible pipelines, mixing abstraction levels, and crafting efficient, production-ready training workflows.

Practical exploration of TensorFlow eager vs graph execution modes with real code examples, performance benchmarks, control flow, safe patterns for side-effects, and variable updates — demonstrating deep understanding of TensorFlow mechanics.

Hands-on deep dive into TensorFlow’s low-level API — covering tensor creation, shape manipulation, broadcasting, slicing, and math operations. Builds a strong foundation for custom deep learning workflows without relying solely on high-level abstractions.

Comprehensive, hands-on exploration of TensorFlow tensor fundamentals — from creation and inspection to reshaping, slicing, broadcasting, and math operations. Designed as a clear reference for building a strong foundation in deep learning workflows.