TensorFlow is a free and open-source software library for dataflow and differentiable programming across a range of tasks. It is a symbolic math library, and is also used for machine learning applications such as neural networks. It is used for both research and production at Google.‍


Tutorials | TensorFlow Core
The TensorFlow tutorials are written as Jupyter notebooks and run directly in Google Colab—a hosted notebook environment that requires no setup.
tensorflow tutorial
Hands On Machine Learning
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and ...
scikit-learn tensorflow keras tutorial
Machine Learning Basics
A practical set of notebooks on machine learning basics, implemented in both TF2.0 + Keras and PyTorch.
deep-learning natural-language-processing tensorflow pytorch


TFA: TensorFlow Addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
tensorflow addons utilities code
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