Google Maps聽vs聽TensorFlow

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Google Maps
Google Maps

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TensorFlow

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Google Maps vs TensorFlow: What are the differences?

What is Google Maps? Build highly customisable maps with your own content and imagery. Create rich applications and stunning visualisations of your data, leveraging the comprehensiveness, accuracy, and usability of Google Maps and a modern web platform that scales as you grow.

What is TensorFlow? Open Source Software Library for Machine Intelligence. TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

Google Maps belongs to "Mapping APIs" category of the tech stack, while TensorFlow can be primarily classified under "Machine Learning Tools".

"Free" is the top reason why over 239 developers like Google Maps, while over 15 developers mention "High Performance" as the leading cause for choosing TensorFlow.

Lyft, PedidosYa, and Movielala are some of the popular companies that use Google Maps, whereas TensorFlow is used by Uber Technologies, 9GAG, and VSCO. Google Maps has a broader approval, being mentioned in 1964 company stacks & 1074 developers stacks; compared to TensorFlow, which is listed in 195 company stacks and 126 developer stacks.

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What is Google Maps?

Create rich applications and stunning visualisations of your data, leveraging the comprehensiveness, accuracy, and usability of Google Maps and a modern web platform that scales as you grow.

What is TensorFlow?

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
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What are some alternatives to Google Maps and TensorFlow?
Mapbox
We make it possible to pin travel spots on Pinterest, find restaurants on Foursquare, and visualize data on GitHub.
OpenStreetMap
OpenStreetMap is built by a community of mappers that contribute and maintain data about roads, trails, caf茅s, railway stations, and much more, all over the world.
Leaflet
Leaflet is an open source JavaScript library for mobile-friendly interactive maps. It is developed by Vladimir Agafonkin of MapBox with a team of dedicated contributors. Weighing just about 30 KB of gzipped JS code, it has all the features most developers ever need for online maps.
OpenLayers
An opensource javascript library to load, display and render maps from multiple sources on web pages.
Java Persistence API
It is a Java application programming interface specification that describes the management of relational data in applications using Java Platform, Standard Edition and Java Platform, Enterprise Edition.It provides a POJO persistence model for object-relational mapping.
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Decisions about Google Maps and TensorFlow
Conor Myhrvold
Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber | 6 upvotes 439.1K views
atUber TechnologiesUber Technologies
PyTorch
PyTorch
Keras
Keras
TensorFlow
TensorFlow

Why we built an open source, distributed training framework for TensorFlow , Keras , and PyTorch:

At Uber, we apply deep learning across our business; from self-driving research to trip forecasting and fraud prevention, deep learning enables our engineers and data scientists to create better experiences for our users.

TensorFlow has become a preferred deep learning library at Uber for a variety of reasons. To start, the framework is one of the most widely used open source frameworks for deep learning, which makes it easy to onboard new users. It also combines high performance with an ability to tinker with low-level model details鈥攆or instance, we can use both high-level APIs, such as Keras, and implement our own custom operators using NVIDIA鈥檚 CUDA toolkit.

Uber has introduced Michelangelo (https://eng.uber.com/michelangelo/), an internal ML-as-a-service platform that democratizes machine learning and makes it easy to build and deploy these systems at scale. In this article, we pull back the curtain on Horovod, an open source component of Michelangelo鈥檚 deep learning toolkit which makes it easier to start鈥攁nd speed up鈥攄istributed deep learning projects with TensorFlow:

https://eng.uber.com/horovod/

(Direct GitHub repo: https://github.com/uber/horovod)

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Tom Klein
Tom Klein
CEO at Gentlent | 9 upvotes 87.7K views
atGentlentGentlent
TensorFlow
TensorFlow
Let's Encrypt
Let's Encrypt
Twilio
Twilio
PayPal
PayPal
Stripe
Stripe
CloudFlare
CloudFlare
Google Maps
Google Maps
Google Drive
Google Drive
Stack Overflow
Stack Overflow
Postman
Postman
Google Analytics
Google Analytics

Google Analytics is a great tool to analyze your traffic. To debug our software and ask questions, we love to use Postman and Stack Overflow. Google Drive helps our team to share documents. We're able to build our great products through the APIs by Google Maps, CloudFlare, Stripe, PayPal, Twilio, Let's Encrypt, and TensorFlow.

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Reviews of Google Maps and TensorFlow
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How developers use Google Maps and TensorFlow
Avatar of Rajeshkumar T
Rajeshkumar T uses Google MapsGoogle Maps
  • Its used for restaurant Geo location and find the nearest restaurant listing.

  • Find the customer location and delivery agent location tracking.

  • Calculate the distance between restaurant and customer location.

Avatar of Youpooly Corp.
Youpooly Corp. uses Google MapsGoogle Maps

We need to integrate maps in mobile Apps and Web frontend to show where an event is taking place. Maps is best because of it's international availability and the google api with a feature to recursive search.

Avatar of benyomin
benyomin uses Google MapsGoogle Maps

Location, location, location. Choropleths are hot for a reason. When dealing with geography and housing why stop at bar charts, the map really makes my data quickly comprehensible to humans.

Avatar of papaver
papaver uses Google MapsGoogle Maps

used the google maps api on several projects. been an avid user for quite a while. used it all around the world to navigate through public transport and through cities.

Avatar of Srinivas Adireddi
Srinivas Adireddi uses Google MapsGoogle Maps

1) it's very easy to use. 2) shows satellite image, Google earth and many other features like traffic, terrain, etc. 3) Is very useful for driving etc.

Avatar of Eliana Abraham
Eliana Abraham uses TensorFlowTensorFlow

Machine Learning in EECS 445

Avatar of Taylor Host
Taylor Host uses TensorFlowTensorFlow

Pilot integration for retraining.

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