# CreatCodeBuild/TensorFlow-and-DeepLearning-Tutorial

A TensorFlow & Deep Learning online course I taught in 2016

Repository: https://github.com/CreatCodeBuild/TensorFlow-and-DeepLearning-Tutorial
Canonical: https://ross.abutalabs.com/products/tensorflow-and-deeplearning-tutorial
Language: Python
License Family: other
Topics: deep-learning, tensorflow, deep-learning-tutorial, tensorboard
Last push: 2020-03-22T07:05:16+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3616, "days_push": 2355, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2297, forks 606 (observed 2026-08-28T04:06:35.257267+00:00)

## What it is
A collection of deep learning tutorials taught as an online course in 2016, covering TensorFlow basics, fully connected and convolutional neural networks, plus NLP topics. It includes course materials and example code in Python.

## Use cases
- learn tensorflow basics from scratch
- understand convolutional neural networks with examples
- introductory deep learning course materials
- learn nlp with tensorflow
- example code for fully connected neural networks

## When to choose
- you want beginner-friendly TensorFlow 1.x tutorial material
- you prefer learning via a structured course with videos and code
- you need simple CNN and neural network examples

## When to avoid
- you need modern TensorFlow 2.x or PyTorch content
- you want actively maintained examples
- you need production-ready code

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: deep-learning, machine-learning
- domain: deep-learning, machine-learning, tutorials
- platform: python
- tags: tensorflow, tutorial, course, neural-networks, cnn, nlp, tensorboard, natural-language-processing

## Member repositories
- CreatCodeBuild/TensorFlow-and-DeepLearning-Tutorial (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:35.257267+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 2026-08-30T02:40:17.682697+00:00, confidence not recorded.
  - readme: https://github.com/CreatCodeBuild/TensorFlow-and-DeepLearning-Tutorial (fetched 2026-08-28T04:06:35.257267+00:00, sha 4fbcfbcd0060)
- Data as of 2026-08-30T08:39:29.467469+00:00.