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PacktPublishing/Deep-Learning-with-Keras resource

Code repository for Deep Learning with Keras published by Packt observed · 2026-08-28

github.com/PacktPublishing/Deep-Learning-with-Keras · Jupyter Notebook · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

67/100

  • Activity 78
  • 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: 3421
  • days_rel: n/a
  • days_push: 133
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1048 stars · 698 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

The official companion code repository for the Packt book 'Deep Learning with Keras', containing Jupyter Notebook examples for each chapter. It covers supervised and unsupervised deep learning models including CNNs, autoencoders, RBMs, and LSTMs using Keras and TensorFlow.

Use cases

  • learn deep learning with keras from book examples
  • example code for building convolutional neural networks
  • understand lstm and recurrent networks with keras
  • implement autoencoders and restricted boltzmann machines
  • practice image classification and handwritten digit recognition
  • follow along with a deep learning tutorial book

When to choose

  • you are reading the book and want its supporting code
  • you want runnable Jupyter Notebook examples of classic deep learning models in Keras
  • you are a beginner learning CNNs, RNNs, LSTMs, and autoencoders

When to avoid

  • you need a production-ready deep learning library or framework
  • you need up-to-date code for modern TensorFlow 2.x / Keras 3 APIs
  • you want comprehensive documentation rather than book chapter code

Facets

learning-resource · maturity maintenance

deep-learning machine-learning nlp image-processing deep-learning machine-learning tutorials computer-vision python keras tensorflow jupyter-notebooks book-companion packt educational-code natural-language-processing

1 source

Member repositories

RepositoryRoleHealth v2
PacktPublishing/Deep-Learning-with-Kerasmain67

For agents

markdown · JSON · MCP: product_card(name="PacktPublishing/Deep-Learning-with-Keras")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem