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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.

Machine Learning

Quest Outline

Lab práctico

Aprendizaje automático con TensorFlow

En este lab, aprenderá cómo usar Google Cloud Machine Learning y TensorFlow para desarrollar y evaluar modelos de predicción a partir del aprendizaje automático.

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Lab práctico

TensorFlow for Poets

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.

Lab práctico

Image Classification of Coastline Images Using TensorFlow on AI Platform

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.

Lab práctico

Prediga precios de viviendas con TensorFlow y Cloud ML Engine

En este lab, compilará una solución de aprendizaje automático de extremo a extremo usando TensorFlow y Cloud ML Engine, y aprovechará la nube para llevar a cabo entrenamiento distribuido y predicción en línea.

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Lab práctico

Creating an Object Detection Application Using TensorFlow

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.

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