pkmital/tensorflow_tutorials resource

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5668 stars · 1160 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A collection of TensorFlow tutorials progressing from basic graph computation to deep learning models like convolutional networks, autoencoders, and residual networks. It includes Python source files and Jupyter notebooks written by Parag K. Mital in 2016.

Use cases

• learn tensorflow basics from scratch
• tutorial on building a convolutional neural network
• example code for variational autoencoder
• learn linear and logistic regression with tensorflow
• understand residual networks with example code
• hands-on deep learning notebooks

When to choose

• learning deep learning fundamentals with older TensorFlow 0.x/1.x APIs
• wanting runnable notebook examples of classic architectures like autoencoders and convnets

When to avoid

• working with modern TensorFlow 2.x or PyTorch
• needing maintained, up-to-date tutorials
• production use of any kind

Facets

learning-resource · maturity abandoned

machine-learning deep-learning deep-learning machine-learning tutorials python tensorflow jupyter-notebooks neural-networks tutorials educational

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markdown · JSON · MCP: product_card(name="pkmital/tensorflow_tutorials")