Get started with TensorFlow's High-Level APIs

  • 2019-04-14 12:47 AM
  • 350

Get started with TensorFlow's High-Level APIs

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.

Thanks for reading ❤
If you liked this post, share it with all of your programming buddies!
Follow me on Facebook | Twitter

Learn More

Complete Guide to TensorFlow for Deep Learning with Python
Tensorflow Bootcamp For Data Science in Python
Python for Data Science and Machine Learning Bootcamp
TensorFlow is dead, long live TensorFlow!
Introducing TensorFlow.js: Machine Learning in Javascript
Introducing TensorFlow Datasets
Machine Learning Tutorial - Image Processing using Python, OpenCV, Keras and TensorFlow
How to Image Classification with TensorFlow 2.0?

Suggest