6 easy pieces on what you need to know for TensorFlow from the ground up (tensors, variables, and gradients without using high level APIs).
This talk is designed for those that know the basics of Machine Learning but need an overview on the fundamentals of TensorFlow.
0:00 – Intro and outline
2:12 – Tensors
6:08 – Variables
9:19 – Gradient tape
13:57 – Modules
17:43 – Training loops
21:52 – tf.function
28:53 – Conclusion
This talk is based on the guides on tensorflow.org See them all (with executable code on Google Colab!)
Introduction to gradients and automatic differentiation
Introduction to graphs
Introduction to modules, layers, and models
Basic training loops