#612 · Primary category: Education & Research

easy-tensorflow

convolutional-neural-networks deep-learning machine-learning neural-network object-detection pattern-recognition python recurrent-neural-networks reinforcement-learning tensorflow

Simple and comprehensive tutorials in TensorFlow

Project last updated:07/08/24

GitHub Stars

2.8K

Forks

357

Contributors

9

License

MIT

Why we included this project

easy-tensorflow is a tutorial collection for people learning TensorFlow, laid out as one path from setup to working models. The lessons cover installation, core graph concepts, linear classifiers, feed-forward networks, autoencoders, and convolutional networks, and each one pairs a detailed notebook with a runnable Python script. The code stays deliberately simple and the topics build on each other, which is a relief compared with the scattered examples you usually find online. It works well for onboarding new engineers or for self-taught learners who want a mental model of how the pieces fit together. Just keep in mind it is a curriculum, not a library: you work through it, you do not drop it into an application.

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