alrojo/tensorflow-tutorial resource

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1955 stars · 439 forks observed · 2026-08-28

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

A collection of five interactive Jupyter notebook labs teaching deep learning with TensorFlow, covering feedforward networks, CNNs, RNNs, autoencoders, and a Kaggle competition. Originally used in an Nvidia-sponsored deep learning course in London.

Use cases

• learn tensorflow from scratch
• hands-on deep learning tutorials with jupyter notebooks
• understand feedforward neural networks on mnist
• learn convolutional neural networks for image classification
• build encoder-decoder rnn models for translation
• practice for a kaggle competition
• learn autoencoders for unsupervised learning

When to choose

• you want interactive notebook-based deep learning exercises runnable on a laptop CPU
• you are a beginner learning TensorFlow through examples and visualizations
• you want course-style labs covering FFN, CNN, RNN, and autoencoders

When to avoid

• you need up-to-date TensorFlow 2.x or modern APIs since the material dates from 2016
• you need production-ready code or a maintained library
• you need a license permitting reuse of the material

Facets

learning-resource · maturity abandoned

machine-learning deep-learning deep-learning tutorials machine-learning python cross-platform tensorflow jupyter-notebooks deep-learning-course kaggle mnist cnn rnn autoencoder educational

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