---
title: [Registration] Deep Learning Workshop 30Aug 2022
description: In this session, you will learn how to do deep learning in 6 lines of code, perform transfer learning using a GUI-based app and accelerate your code using MATLAB.
image: https://event.techsource-asia.com/hubfs/Ebook%20Ads%20July%20(5).png
---

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# 30 August 2022 | 15:00 - 17:00 (GMT+8) | Via Zoom

# Overview

As industries begin to enter a new digital age, domain experts and engineers are starting to understand the power of AI models in everyday applications. However, getting started on Deep Learning and AI in general is a daunting task to those unfamiliar.

This workshop will give attendees a brief background on MATLAB’s *Neural Network* capabilities and introduce the ways that MATLAB makes designing, training, and implementing neural networks systems easier.

Learn how to do deep learning in *6 lines of code,* perform *transfer learning* using a GUI-based app and *accelerate your code* using MATLAB.

 

# Highlights:

- Perform Deep Learning in 6 Lines of code
- Design Neural Network from scratch
- Train a pre-trained model for a new application
- Accelerate code using GPU hardware.

**Installation Guide for MATLAB Online**

We will provide trial licenses to use MATLAB Online   
\[[Download Now](https://event.techsource-asia.com/hubfs/DLS_20220-Q1/DLS-Session5/DeepLearningWorkshop-Guide%20Installation.pdf?hsLang=en)\]. Desktop installation is recommended.

Seats are limited

Register now and secure your seat to avoid disappointment.

Registration will be confirmed upon your receipt of the confirmation, on a first-come-first-serve basis.

 

## Register Today!

# Our Speaker

![rasyiqah photo (3)](https://event.techsource-asia.com/hs-fs/hubfs/rasyiqah%20photo%20(3).png?width=400&height=400&name=rasyiqah%20photo%20(3).png "rasyiqah photo (3)")

Rasyiqah 'Annani Mohd Rosidi

               Application Engineer

``

**Rasyiqah ‘Annani** is an **Application Engineer at TechSource Systems**. She holds a Master of Engineering Technology in Electrical and Electronics from Universiti Kuala Lumpur British Malaysian Institute.

She helps various customers across different industries on projects related to Deep Learning and Computer Vision. Rasyiqah is also a graduate from Universiti Kuala Lumpur British Malaysian Institute with a Bachelor of Engineering Technology in Medical Electronics. 

Previously she worked as a Research Assistance at Universiti Kuala Lumpur British Malaysian Institute and the research focuses on automatic medical image processing. 

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