Another exquisit release
Lynda.Accelerating.TensorFlow.with.the.Google.Machine.Learning.Engine-XQZT
Title: Accelerating TensorFlow with the Google Machine Learning Engine
Publisher: Lynda
Size: 341M (356839340 B)
Files: 8F
Date: 07/21/2018
Course #: 677176
Type: Big Data
Published: 7/20/2018
Modified: N/A
URL: www.lynda.com/TensorFlow-tutorials/Accelerating-TensorFlow-Google-Machine-Learning-Engine/677176-2.html
Author: Matt Scarpino
Duration: 3h 5m
Skill: Intermediate
Exer/Code: [ ]
Installation:
Unpack that shit, run that shit
Notes:
Discover how to leverage TensorFlow—an open-source software
library for numerical computation—to build
high-performing machine learning applications. In this course,
instructor Matt Scarpino helps to acquaint you with this
exciting tool. Here, he explores the process of developing
TensorFlow applications and running them on the Google Cloud
Machine Learning (ML) Engine.c/brec/bre Matt kicks off the
course by discussing TensorFlow development in detail,
starting with basic tensor operations and proceeding to graphs,
sessions, variables, and training. He also goes over
high-level features like datasets, iterators, and
estimators. Next, Matt introduces the Google Cloud Platform (GCP)
and its capabilities. He shows how to create a GCP project and
access it through the Cloud SDK utility. In addition, he covers
Google Cloud Storage, which enables developers to upload data that
can be accessed in GCP applications. To wrap up, he steps
through how to deploy your TensorFlow applications to the ML