This document serves as an introduction, crash course, and quick API reference for TensorFlow 2.0.
Latest Resources in TensorFlow
TensorFlow
TensorFlow 2.0 Tutorial 01: Basic Image Classification lambdalabs.com
TensorFlow 2 is now live! This tutorial walks you through the process of building a simple CIFAR-10 image classifier using deep learning. In this tutorial, we will:
- Define a model
- Set up a data pipeline
- Train the model
- Accelerate training speed with multiple GPUs
- Add callbacks for monitoring progress/updating learning schedules
The code in this tutorial is available here.
Advanced machine learning everyone can use. Stage data. Build models with no code. Manage models in production.
One of the most common utilizations of TensorFlow and Keras is the recognition/classification of images. If you want to learn how to use Keras to classify or recognize images, this article will teach you how.
How to Automate Tasks on GitHub With Machine Learning for Fun and Profit towardsdatascience.com
A tutorial on how to build a GitHub App that predicts and applies issue labels using Tensorflow and public datasets.
