# AvrahamRaviv/Deep-Learning-in-Hebrew

ספר מלא בעברית על למידת מכונה ולמידה עמוקה

Repository: https://github.com/AvrahamRaviv/Deep-Learning-in-Hebrew
Canonical: https://ross.abutalabs.com/products/deep-learning-in-hebrew
Language: HTML
License: MIT
License Family: permissive
Last push: 2026-01-15T14:35:17+00:00

## Health v2 (maintenance only)
Score: 60/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 62, release rhythm 35, longevity 100
- inputs: {"age_days": 2033, "days_push": 230, "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 1019, forks 105 (observed 2026-08-28T04:03:15.186475+00:00)

## What it is
A complete open-source book in Hebrew covering machine learning and deep learning, with accompanying Jupyter notebooks and PDF chapters. It is an educational resource rather than software.

## Use cases
- learn machine learning in hebrew
- free deep learning book in hebrew
- hebrew textbook for neural networks
- jupyter notebooks to learn ml basics
- study supervised and unsupervised learning algorithms
- introduction to deep learning for hebrew speakers

## When to choose
- you prefer learning ML/DL concepts in Hebrew
- you want a free, structured textbook with matching notebooks
- you need a citable open educational resource on machine learning

## When to avoid
- you need production ML code or a library
- you require materials in English or another language
- you want interactive courses with graded exercises

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, documentation
- domain: machine-learning, deep-learning, education, tutorials
- platform: python
- tags: hebrew-language, open-textbook, jupyter-notebooks, free-book, machine-learning-basics, web-server

## Member repositories
- AvrahamRaviv/Deep-Learning-in-Hebrew (main) score 60

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:15.186475+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 2026-08-30T07:09:20.249195+00:00, confidence not recorded.
  - readme: https://github.com/AvrahamRaviv/Deep-Learning-in-Hebrew (fetched 2026-08-28T04:03:15.186475+00:00, sha 228cfe0edc0b)
- Data as of 2026-08-30T08:39:29.467469+00:00.