A collection of small notes and code examples from my TensorFlow learning journey.
The main source I follow in these notes is: AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence
by Laurence Moroney
Besides the main book, I also consulted various other resources to broaden my understanding, including:
- Deep Learning by Ian Goodfellow, Yoshua Bengio, Aaron Courville
- Pattern Recognition and Machine Learning by Christopher M. Bishop
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron
This repo is not a polished tutorial, but rather a personal notebook — collecting short experiments, notes, and examples while learning TensorFlow and AI