TensorFlow from the ground up (ML Tech Talks)

In the next talk in our series, Wolff Dobson will discuss 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.

Chapters:
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

Resources:
This talk is based on the guides on tensorflow.org See them all (with executable code on Google Colab!) → https://goo.gle/3ije3k5

Tensors → https://goo.gle/34UqV8m
Variables → https://goo.gle/3v2Pvyh
Introduction to gradients and automatic differentiation → https://goo.gle/3sFVybo
Introduction to graphs → https://goo.gle/3w1cGdE
Introduction to modules, layers, and models → https://goo.gle/3v0mSC1
Basic training loops → https://goo.gle/3uZ9pu0

Subscribe to TensorFlow → https://goo.gle/TensorFlow

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