sjchoi86/dl_tutorials resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1515 stars · 392 forks observed · 2026-08-28

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

A collection of deep learning tutorial presentations and accompanying code (2nd edition), covering topics from Python and TensorFlow basics to CNNs, semantic segmentation, and autoencoders. It is structured as a multi-week course with slides and MNIST-based implementation examples.

Use cases

• learn deep learning fundamentals from scratch
• find tutorial slides explaining CNNs and AlexNet
• get example code implementing MLPs and CNNs on MNIST
• study semantic segmentation implementations like FCN and DeepLab
• learn TensorFlow basics with hands-on examples
• understand regularization and optimization methods in deep learning

When to choose

• you want structured, week-by-week deep learning course material with slides
• you are learning TensorFlow 1.x-era deep learning with MNIST examples
• you need introductory explanations of classic architectures like AlexNet, GoogLeNet, and autoencoders

When to avoid

• you need up-to-date material covering modern frameworks like PyTorch or current architectures
• you want a maintained library or production-ready code
• you need tutorials on transformers or large language models

Facets

learning-resource · maturity abandoned

machine-learning deep-learning computer-vision deep-learning machine-learning computer-vision tutorials python tutorials tensorflow mnist cnn presentations educational

Member repositories

For agents

markdown · JSON · MCP: product_card(name="sjchoi86/dl_tutorials")