Description

Building Web Services with Java Network Programming

Building Web Services with Java Network Programming
.MP4, AVC, kbps, 1280×720 | English, AAC, kbps, 2 Ch | 5h 9m | 1.02 GB Instructor: Peter Verhas

Get hands-on with networking web services in Java Programming

Web services drive networking on the web and have been at the center of modern application architecture. Regardless of language or platform, understanding how web services work is a serious skill. This course explores web services: the concepts, commands, and tools that allow you to communicate and share data between applications.

You will learn how to use HTTP services in synchronous and asynchronous modes by configuring an HTTP client. You will also explore protocols such as SOAP, and REST and shares simple programming tips for writing web services that are as efficient as possible. Plus, you’ll learn how to secure your communications across the web with security standards and create key-store and server applications that use symmetric and asymmetric encryption for client and server.

Have you ever taken a course or read a book where you have questions but cannot reach the author?

Well, this course is different. We are fully committed to making this the most disruptive and powerful Deep Learning course on the planet. With that comes a responsibility to constantly be there when you need our help.

In fact, since we physically also need to eat and sleep we have put together a team of professional Data Scientists to help us out. Whenever you ask a question you will get a response from us within 48 hours maximum.

No matter how complex your query, we will be there. The bottom line is we want you to succeed.

— The Tools —

Tensorflow and Pytorch are the two most popular open-source libraries for Deep Learning. In this course you will learn both!

TensorFlow was developed by Google and is used in their speech recognition system, in the new google photos product, gmail, google search and much more. Companies using Tensorflow include AirBnb, Airbus, Ebay, Intel, Uber and dozens more.

PyTorch is as just as powerful and is being developed by researchers at Nvidia and leading universities: Stanford, Oxford, ParisTech. Companies using PyTorch include Twitter, Saleforce and Facebook.

So which is better and for what?

Well, in this course you will have an opportunity to work with both and understand when Tensorflow is better and when PyTorch is the way to go. Throughout the tutorials we compare the two and give you tips and ideas on which could work best in certain circumstances.