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Advanced Keras Training

Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Intermediate
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Advanced Keras Training

Course Code: C842
  • HRDF

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What's This Course About

Delve into the advanced realm of Keras with Tertiary Courses and witness a transformative learning experience that promises to elevate your proficiency in neural networks. This intensive training is curated to address challenges posed by smaller datasets, guiding learners to harness potent techniques that optimize and refine models for stellar outcomes. Experience the power of the Functional API, a pivotal tool in Keras, tailored for constructing intricate, multi-output models with superior flexibility.

In addition to hands-on coding sessions, the program encapsulates the aesthetic realm of neural networks through feature map visualization. This segment offers insights into the internal workings of convolutional layers, aiding in model interpretation and fostering a deeper understanding of activations. By the culmination of this training, participants will not only be adept at crafting sophisticated models using Keras but will also possess the acumen to visualize and interpret their nuances, thereby bridging theory with tangible results.

WSQ Funding

Full Fee 1,050.00 Before GST
GST 94.50 9% of fee
Baseline Nett 619.50 SG/PR age 21+ · 50% funded
MCES / SME Nett 409.50 SG age 40+ · 70% funded
Funding and Grant Applications

No funding is available for this course

Course Fee

MYR1,050.00

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1 Image Recognition with CNN

Introduction to Convolutional Neural Network (CNN)

Convolution & Pooling

Build a CNN Model for Image Recognition

Topic 2 Overfitting for Small Datasets

Overfitting and Underfitting

Methods to Solve Overfitting

Small Dataset Overfitting Issue

Data Augmentation & Dropout

Topic 3 Functional Keras API

Overview of Functional API

Create Sequential Model with Functional API

Feature Map Visualization

Topic 4 Transfer Learning for Small Datasets

Introduction to Transfer Learning

Pre-trained Models in Keras

Transfer Learning on Small Dataset

Course Info

Prerequisite

This is an intermediate course. The following knowledge is assumed:

Software Requirement

Please install the following software prior to the class

Please follow this guide to install Tensorflow on Mac https://www.tensorflow.org/install/install_mac

Please follow this guide to install Tensorflow on Window https://www.tensorflow.org/install/install_windows

Job Roles

Job Roles

  • Data Scientists
  • Data Analysts
  • Engineers

Trainers

Trainers

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

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