# Hvass-Labs/TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

Repository: https://github.com/Hvass-Labs/TensorFlow-Tutorials
Canonical: https://ross.abutalabs.com/products/tensorflow-tutorials
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: tensorflow, deep-learning, machine-learning, reinforcement-learning, python-notebook, tutorial, neural-network, youtube
Last push: 2021-01-15T20:20:02+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": 3720, "days_push": 2056, "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 9267, forks 4092 (observed 2026-08-28T04:10:29.168190+00:00)

## What it is
A collection of Jupyter Notebook tutorials for beginners in Deep Learning and TensorFlow, each paired with a YouTube video. Topics span linear models, CNNs, Keras, fine-tuning, reinforcement learning, NLP, and machine translation.

## Use cases
- learn deep learning with tensorflow from scratch
- tensorflow tutorials for beginners
- learn convolutional neural networks with jupyter notebooks
- introduction to reinforcement learning in tensorflow
- learn natural language processing and machine translation with tensorflow
- video-based machine learning tutorials

## When to choose
- you are a beginner wanting well-documented, single-topic tutorials with accompanying YouTube videos
- you prefer runnable Jupyter Notebooks or Google Colab for hands-on learning
- you want coverage of classic deep learning topics from CNNs to RL and NLP

## When to avoid
- you need up-to-date tutorials for the latest TensorFlow or PyTorch versions, as the repo was last updated in 2021
- you want advanced or production-grade deep learning guidance
- you prefer text-only courses without video content

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, reinforcement-learning, nlp
- domain: deep-learning, machine-learning, tutorials, computer-vision
- platform: python, cross-platform
- tags: tensorflow, jupyter-notebook, youtube-videos, neural-networks, beginner-friendly, google-colab, natural-language-processing

## Member repositories
- Hvass-Labs/TensorFlow-Tutorials (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:29.168190+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 2026-08-29T17:22:38.342512+00:00, confidence not recorded.
  - readme: https://github.com/Hvass-Labs/TensorFlow-Tutorials (fetched 2026-08-28T04:10:29.168190+00:00, sha d1d4de48d17b)
- Data as of 2026-08-30T08:39:29.467469+00:00.