High-level APIs like tf.keras enable developers to train models easily and effectively. This session will introduce these APIs, and notebooks you can run live in the browser to get started using Colab. We'll walk you through writing your first neural network in TensorFlow using just 10 lines of code with tf.keras, and then we’ll introduce you to Eager execution. We'll close with educational resources you can use to learn more about ML. By releasing easier and more intuitive APIs, we hope to make TensorFlow, an open-source machine learning framework more accessible for all.
Watch the full "Get started with TensorFlow high-level APIs” session at I/O 2018 → https://goo.gl/fAmw6q
Try TensorFlow with zero install → https://goo.gl/NrJAEz
Train your first neural network with just 10 lines of code → https://goo.gl/6SRkzf
Use the same Keras-compatible API with TensorFlow.js! → https://goo.gl/ZBbzJH
Learn more about ML → https://goo.gl/36baeH
Watch more TensorFlow sessions from I/O '18 here → https://goo.gl/GaAnBR
See all the sessions from Google I/O '18 here → https://goo.gl/q1Tr8x
Follow Josh on Twitter → https://goo.gl/WQ4EFs
For GoLang training courses, please contact Wojtek.