Full-Stack Development of Web Applications Powered by Deep Learning Solutions

Apr 28, 2018 · Nangang District, Taiwan

Deep Learning Solutions for Powering Web Applications: a Workshop on Machine Learning Plus Full-Stack Web Development

This is a carefully crafted "Deep Learning" PLUS "Full Stack Web Development" 10am-5pm workshop. Only 12 to 15 seats are available, in addition to the organizers. THERE IS A REGISTRATION FEE of 67 USD. The TWD equivalent is 1960 TWD. However, the contents of the event and the takeaway (materials/source codes) are valued at more than 20 times the registration fee. The registration fee will be refunded if the workshop is cancelled or rescheduled.

THE REGISTRATION FEE WILL BE WAIVED FOR "TIGP BIOINFORMATICS STUDENTS".

Date:
Saturday, April 28, 2018

What the Participants Will Learn:
You will learn how to build [1] a Deep Learning Solution for Neural Machine Translation; [2] a Deep Learning Solution for Stock Market Prediction; [3] a Web Server that makes use of the Deep Learning Solutions YOU have just built (Back-End Development); [4] a Web Page (Front-End) for the Machine Translation (which connects with the Back-End); [5] a Dashboard (Front-End) for the Stock-Market Predictor (which connects with the Back-End).

Materials including sample/source codes will be provided. You will be able to practice all of the tasks in real-time, on your computer. It will be valuable, fun and beneficial.

Prerequisites:
The workshop will be intensive. Some knowledge of Computer Programing in Python (or in C++) will be assumed.

It is OKAY to have little or no knowledge of Machine Learning/Deep Learning and/or Web Development.

09:30 to 10:00:
[+] Arrival at the venue of the workshop, and setting up of the/your computing environments

10:00 to 11:00:
[1] Build a Deep Learning Solution for Neural Machine Translation

11:00 to 12:00:
[2] Build a Deep Learning Solution for Stock Market Prediction

12:00 to 13:00:
[+] Lunch Break (Pizza and Drinks will be provided)

13:00 to 14:00:
[3] Build the Main Web Server (Back-End) for the two Web Applications and Connect the Trained Deep Learning Models to the Web Server

14:00 to 15:00:
[4] Build a Web Page (the Front-End) for the Machine Translation and connect it to the Back-End

15:00 to 16:00:
[5] Build a Simple Dashboard (the Front-End) for the Stock-Market Predictor and connect it to the Back-End

16:00 to 17:00:
[6] Participants' Networking and Discussions

Contact: Emmanuel Salawu
Email: [masked], [masked]
Phone:[masked]

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