amanchadha/coursera-deep-learning-specialization resource
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models observed · 2026-08-28
Health v2 · maintenance only
71/100
- Activity 86
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2261
- days_rel: n/a
- days_push: 84
- n_releases_24m: 0
Adoption not part of the score
4352 stars · 2676 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A collection of notes, programming assignments, and quizzes from all five courses of the Coursera Deep Learning Specialization by deeplearning.ai (Andrew Ng). It includes Jupyter Notebook solutions covering neural networks, hyperparameter tuning, CNNs, and sequence models, updated to TensorFlow 2.
Use cases
- study for the Coursera Deep Learning specialization
- find reference solutions for deep learning programming assignments
- learn neural networks with worked Jupyter notebooks
- review interview-ready deep learning notes
- practice hyperparameter tuning and regularization exercises
- learn CNNs and RNNs with hands-on assignments
When to choose
- you are enrolled in or self-studying the deeplearning.ai Deep Learning Specialization
- you want worked examples of assignments in TensorFlow 2 and NumPy
- you need concise notes to review deep learning concepts for interviews
When to avoid
- you want a production deep learning framework or library
- you need maintained software with a license for redistribution
- you are looking for original course content rather than student solutions
Facets
learning-resource · maturity stable
deep-learning machine-learning developer-tools deep-learning machine-learning tutorials education python cross-platform coursera andrew-ng jupyter-notebooks assignments quizzes cnn rnn tensorflow course-notes
1 source
- readme: https://github.com/amanchadha/coursera-deep-learning-specialization · fetched 2026-08-28 · 4309177e5bb2
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| amanchadha/coursera-deep-learning-specialization | main | 71 |
For agents
markdown · JSON · MCP: product_card(name="amanchadha/coursera-deep-learning-specialization")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem