sjchoi86/Tensorflow-101 resource
TensorFlow Tutorials observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3768
- days_rel: n/a
- days_push: 2354
- n_releases_24m: 0
Adoption not part of the score
2591 stars · 729 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A collection of TensorFlow tutorials written as Jupyter Notebooks, aimed at TensorFlow and deep learning beginners. It covers basics through CNNs, RNNs, and fine-tuning pre-trained models like VGG.
Use cases
- learn tensorflow from scratch
- understand convolutional neural networks with mnist
- learn how to build recurrent neural networks
- fine-tune a pretrained vgg model on custom data
- get example notebooks for linear and logistic regression
- find a recipe book of deep learning examples
When to choose
- you are a beginner wanting kindly explained TensorFlow notebooks
- you want runnable examples covering MLP, CNN, and RNN basics
- you want to learn fine-tuning pretrained models like VGG
When to avoid
- you need tutorials for TensorFlow 2.x or current APIs
- you need production-grade code rather than educational notebooks
- you need actively maintained content with recent updates
Facets
learning-resource · maturity maintenance
machine-learning deep-learning image-processing data-science deep-learning machine-learning tutorials computer-vision python cross-platform tensorflow jupyter-notebook cnn rnn mnist vgg educational natural-language-processing
1 source
- readme: https://github.com/sjchoi86/Tensorflow-101 · fetched 2026-08-28 · 56c888c36f55
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| sjchoi86/Tensorflow-101 | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="sjchoi86/Tensorflow-101")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem