tensorflow-deep-learning

Why we included this project

For anyone who learns deep learning best by typing code, this repository is one of the most complete free walkthroughs available. It collects the full run of notebooks from Daniel Bourke's Zero to Mastery course, each a self-contained tutorial that starts with TensorFlow fundamentals and then works through neural network classification, computer vision, transfer learning, and natural language processing, with time series forecasting appearing later. The code-along format means you can follow the notebooks in Colab without setting up a local environment, and each one builds on the last with clear explanations next to the cells. An online book version and a YouTube series covering the first few notebooks let you watch and then try things yourself. For developers who want a structured path into Keras instead of scattered tutorials, this is a practical place to build the basics and pick up normal workflow habits like callbacks.