Intermediate ML: TensorFlow on GCP
Fundamental 5 Steps Horas 33 Créditos
TensorFlow is library for is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on GCP.
Neste laboratório, você aprenderá a usar o Google Cloud Machine Learning e o TensorFlow para desenvolver e avaliar modelos de predição com machine learning.
In this lab you will learn how to install and run TensorFlow on a single machine, then train a simple classifier to classify images of flowers.
In this lab, you carry out a transfer learning example based on Inception-v3 image recognition neural network. The objective is to classify coastline images captured using drones based on their potential for flood damage.
Neste laboratório, você criará uma solução completa de machine learning com o TensorFlow e o Cloud ML Engine e também usará a nuvem para fazer um treinamento distribuído e uma predição on-line.
This lab will show you how to install and run an object detection application. The application uses TensorFlow and other public API libraries to detect multiple objects in an uploaded image.