Deep Learning -Tools.txt - A deep net platform is service that allows you to incorporate deep net in our applications without building one from scratch

Deep Learning -Tools.txt - A deep net platform is service...

This preview shows page 1 - 2 out of 4 pages.

A deep net platform is service that allows you to incorporate deep net in our applications without building one from scratch. This platform provides a set of tools and interface to build your own custom deep net. Deep net platforms are of two types. Software platform: This platform is available as downloadable packages that need to be deployed on your hardware. Full platform: It is available as online interactive UI to build and deploy models without any coding experience. The following are the tools offered by deep net platforms. Deep Net capability Data Munging UI/Model Management Infrastructure Using Deep Net Capability tool, the user can choose among various available deep nets depending on the use case. For example, you can select convolutional net for image recognition or RNTN for text analysis and so on. Data Munging tool enables us to import data (structure or unstructured) from various sources and manipulate it to feed into a selected deep net. In order to train a significant amount of data and increase performance, some platforms provide infrastructure facilities like built-in integration tools such as Amazon S3, SQL, and NoSQL. H2O.ai is an opensource machine learning platform. Along with many machine learning algorithms, this platform currently provides one deep net capability that is Multilayer Perceptron. It offers intuitive UI and powerful data munging capabilities. It is available as a downloadable package that has to be installed and managed in our own hardware infrastructure. H2O.ai supports machine learning models as GLM, Distributed random forest, K- means clustering, gradient boosting machine, a Cox proportional hazard and Naive Bayes classifier. Supports Multilayer perceptron for deep learning model which uses L-BFGS algorithm for backpropagation. H2O.ai offers built-in integration tools for platforms like HDFS, Amazon S3, SQL, and NoSQL. Platform's intuitive UI can be accessed by programming environments like R, Python, and JSON. You can model and analyze data with Tableau, Microsoft excel and RStudio. Since you need to download the package and deploy in your hardware, H2O.ai comes with in-memory map reduce, columnar compression to help speed the training of models.
Image of page 1
Image of page 2

You've reached the end of your free preview.

Want to read all 4 pages?

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture