# PacktPublishing/Advanced-Deep-Learning-with-Keras

Advanced Deep Learning with Keras, published by Packt

Repository: https://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras
Canonical: https://ross.abutalabs.com/products/advanced-deep-learning-with-keras
Language: Python
License: MIT
License Family: permissive
Topics: keras, gan, vae, reinforcement-learning, autoencoder, deep-learning
Last push: 2026-03-02T10:41:52+00:00

## Health v2 (maintenance only)
Score: 64/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 70, release rhythm 35, longevity 100
- inputs: {"age_days": 3093, "days_push": 184, "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 2022, forks 1028 (observed 2026-08-28T04:06:06.474197+00:00)

## What it is
The official code repository for the Packt book 'Advanced Deep Learning with TensorFlow 2 and Keras', containing all supporting example code. It covers advanced techniques including ResNet/DenseNet, autoencoders, GANs, VAEs, object detection, semantic segmentation, and deep reinforcement learning.

## Use cases
- learn advanced deep learning techniques with Keras
- implement GANs and variational autoencoders
- study deep Q-learning and policy gradient methods
- understand ResNet and DenseNet architectures
- explore object detection and semantic segmentation examples
- follow a hands-on deep learning book with runnable code

## When to choose
- you are reading the book and need its companion code
- you want practical TensorFlow 2 / Keras examples of GANs, VAEs, and DRL
- you prefer learning through complete, runnable projects

## When to avoid
- you need a production-ready deep learning library rather than educational code
- you want a maintained framework with support and releases
- you are a beginner needing introductory tutorials instead of advanced topics

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: deep-learning, machine-learning, reinforcement-learning
- domain: deep-learning, machine-learning, tutorials
- platform: python
- tags: keras, tensorflow2, gan, vae, autoencoder, book-code, packt, gpu, linux

## Member repositories
- PacktPublishing/Advanced-Deep-Learning-with-Keras (main) score 64

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:06.474197+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 2026-08-30T03:00:04.528493+00:00, confidence not recorded.
  - readme: https://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras (fetched 2026-08-28T04:06:06.474197+00:00, sha 0f27317fc575)
- Data as of 2026-08-30T08:39:29.467469+00:00.