Machine Learning & AI Week 3: Deploy Your Model with Tensorflow.js

Universitas Gunadarma
Fri, Nov 19, 2021, 7:30 PM (WIB)

In this event, you will Deploy the Recommender Model which you have made to a web app. This event is a part of 3 workshop series which would be followed by a webinar/tech talk. Everything from basic Python through constructing and deploying deep learning models will be taught and explored.

About this event

[ML/AI WEEKLY CLASS OPEN REGISTRATION]


ATTENTION! You are required to follow the INSTALLATION GUIDE 🚀


Hello fellow developers!✨


Weekly Class is a GDSC Universitas Gunadarma program that meets once a week with a different focus each month. Machine Learning and Artificial Intelligence are the topics of this week's month. Three workshops will be held at this event, followed by a webinar/tech talk. Everything from basic Python through constructing and deploying deep learning models will be taught and explored. You will also develop your deep learning model to be used in the upcoming weekly classes.


Mentor:

🔉 Manfred Michael as Facilitator 1 (Machine Learning Development Division Supervisor)

🔉 Affa Alfiandy as Facilitator 2 (Machine Learning Development Division Core Team)


🎁Benefits:

  • Applicable knowledge of TensorFlow
  • Create your own Machine Learning Projects
  • Community, connections, and learning resources
  • E-certificate


🗓️Schedule Date:

Week 1: Introduction to Tensorflow

- Friday, 5 November (19:30 - 22:00 WIB)

Week 2: Recommendation System with Tensorflow

- Friday, 12 November (19:30 - 22:00 WIB)

Week 3: Deploy Your Model with Tensorflow.js

- Friday, 19 November (19:30 - 22:00 WIB)


You must see the prerequisite video below before beginning this class.

🔗Learning Resources.
🔗Weekly Class Prerequisites.


📝Make sure you complete the registration, max D-1 each time before the event begins. We encourage you to meet all of the courses to receive the e-certificate.


Together We Grow! <>

Google Developer Student Clubs Universitas Gunadarma

Facilitators

When

Friday, Nov 19
7:30 PM - 10:01 PM (WIB)

Organizers

Partners