TensorFlow-Book

Why we included this project

This repository is the official companion code for the Machine Learning with TensorFlow book, with runnable examples that walk through each chapter concept in the original TensorFlow API. Coverage spans classic algorithms from linear and logistic regression to clustering, autoencoders, RNNs, CNNs, and reinforcement learning, and the commented scripts are easy to edit and re-run. That makes it a solid study aid for self-teaching, especially if you learn better by modifying working code than by reading theory. One honest caveat: the code follows the TensorFlow 1.x style, so you will need to translate some idioms before it runs on current versions. It is a curated learning companion rather than a library, and its value is in seeing how classical ML ideas map to TensorFlow.