# mrdbourke/tensorflow-deep-learning

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Repository: https://github.com/mrdbourke/tensorflow-deep-learning
Canonical: https://ross.abutalabs.com/products/tensorflow-deep-learning
Homepage: https://dbourke.link/ZTMTFcourse
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: deep-learning, deep-neural-networks, tensorflow, tensorflow2, tensorflow-tutorials, tensorflow-course, curriculum
Last push: 2024-08-19T05:32:17+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2109, "days_push": 744, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5943, forks 2826 (observed 2026-08-28T04:09:32.630950+00:00)

## What it is
A collection of Jupyter Notebook course materials for the Zero to Mastery Deep Learning with TensorFlow course by Daniel Bourke. It covers building and training neural networks with TensorFlow/Keras across computer vision, NLP, and time series problems, with an accompanying online book version.

## Use cases
- learn deep learning with tensorflow from scratch
- tensorflow tutorials for beginners
- course materials for building neural networks with keras
- learn computer vision and CNNs with tensorflow
- practice deep learning exercises in jupyter notebooks
- free deep learning course with online book

## When to choose
- you want a structured, beginner-friendly deep learning curriculum in Python
- you prefer learning through hands-on notebooks with exercises and video lessons
- you want free access to the first portion of the course and the online book

## When to avoid
- you need a production-ready library rather than educational materials
- you want PyTorch or framework-agnostic deep learning content
- you need coverage of the latest TensorFlow APIs without checking for updates

## Facets
- artifact type: learning-resource
- maturity: active
- function: deep-learning, machine-learning, computer-vision, nlp
- domain: deep-learning, machine-learning, tutorials, education
- platform: python, cross-platform
- tags: tensorflow, keras, jupyter-notebooks, course-materials, neural-networks, zero-to-mastery

## Member repositories
- mrdbourke/tensorflow-deep-learning (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:32.630950+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:50:45.326650+00:00, confidence not recorded.
  - readme: https://github.com/mrdbourke/tensorflow-deep-learning (fetched 2026-08-28T04:09:32.630950+00:00, sha 3d44f47156e4)
  - homepage: https://dbourke.link/ZTMTFcourse (fetched 2026-08-29T08:46:23.849581+00:00, sha bcf876d83a21)
  - site_page: https://zerotomastery.io/about/instructor/daniel-bourke (fetched 2026-08-29T08:46:23.854968+00:00, sha dc0f7a8a3d8e)
- Data as of 2026-08-30T08:39:29.467469+00:00.