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