The source code behind PhD APIs

Are you developing with the latest technology? Take a look at deep learning source codes:

  • Get sample code for implementing deep learning and natural language processing APIs
  • The code transforms a tedious manual content workflow into a more automated, cost-efficient process.
  • As the API economy enters its second decade, many organizations, from startups to Fortune 500, are recognizing the transformational power of APIs and creating game-changing applications.
  • Savvy developers know where the APIs are and how to put them to use in a way that enables iterative and agile application development.
  • We partnered with ProgrammableWeb to put together a use case to provide the source code and thinking behind NewsMedia Inc.’s (a fictitious company) implementation of deep learning and natural language processing APIs available on Watson Developer Cloud .

As the API economy enters its second decade, many organizations, from startups to Fortune 500, are recognizing the transformational power of APIs and creating game-changing applications. Developers now draw from a nearly infinite palette of internal and public APIs in an effort to outsource almost all of their application functionality.

@IBMWatson: Are you developing with the latest technology? Take a look at deep learning source codes:

Get sample code for implementing deep learning and natural language processing APIs

As the API economy enters its second decade, many organizations, from startups to Fortune 500, are recognizing the transformational power of APIs and creating game-changing applications. Developers now draw from a nearly infinite palette of internal and public APIs in an effort to outsource almost all of their application functionality.

The days of heavy lifting and writing millions of lines of code (and often reinventing the wheel) are over. Savvy developers know where the APIs are and how to put them to use in a way that enables iterative and agile application development. But the API economy is changing – and fast.

The first wave focused on relatively simple functionality. Today, APIs pack the power of PhD-grade science, natural language processing, deep learning, image recognition and the semantic Web into a simple RESTful API call. Giving computers the ability to quickly adapt and learn like humans has major implications across all markets, from healthcare to customer service. It is just a matter of identifying an industry-wide challenge and using cognitive technology to solve it in a new way.

Are you a developer who is ready to build with these new cognitive APIs? We partnered with ProgrammableWeb to put together a use case to provide the source code and thinking behind NewsMedia Inc.’s (a fictitious company) implementation of deep learning and natural language processing APIs available on Watson Developer Cloud. The code transforms a tedious manual content workflow into a more automated, cost-efficient process.

Download your copy to see the source code. Then, put Watson Developer Cloud APIs to work in your next cognitive application.

The source code behind PhD APIs