tensorflow-internals

Why we included this project

Anyone who wants to see how TensorFlow really works under the hood will find this ebook useful. It walks through the core kernel and execution machinery, covering the programming model, the computation graph, and how distributed training is coordinated, and it reads like a companion to the source code itself. The LaTeX sources are freely available, so you can build the PDF yourself or adapt the material for a course. The book is honest about its scope: it documents an older generation of the TensorFlow codebase, so APIs and implementation details have moved on, but as an architectural tour of a widely studied deep learning framework it still teaches well. For developers or instructors who learn best by tracing how a large system.