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Advanced Keras Training

Advanced Keras Training

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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.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant Applications

No funding is available for this course

Course Code: C842

Course Booking

The course fee listed below is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

$298.00 (GST-exclusive)

$324.82 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
On-Site Training (5 pax and above)

Course Date * Course Date

Course Time *

Sponsorship

Self-Sponsored
Employer-Sponsored

No. of Participants

Name(s) on Certificate *

NRIC (Last 3 Digits and Alphabet)

Additional Message or Emails for Course Notification

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Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts and get back to you asap.

Course 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.
Note the minimal class size to start a class is 3 Pax.

Course Details

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

Pycharm : Install Pycharm (https://www.jetbrains.com/pycharm/download/)
Install Tensorflow on Mac

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

Data Scientists
Data Analysts
Engineers

Trainers

Richard Wan: Richard Wan is a ACTA certified trainer. Richard Wan has more than 30 years of experience in software development in various computer disciplines, including computer vision, communication and digital publishing.

Technical expertise includes: Windows, Linux developments with C, C++, Delphi (Object Pascal), Visual Studio, OpenCV. Embedded system programming including microcontrollers, Arduino, Pi, BeagleBone etc.

Ken Yuen: Ken Yuen is a ACTA certified trainer. He has more than 10 years of experience working as an instructor, Application Development Engineer, Technical Consultant and Project Manager. He is an MOE-Registered Instructor teaching STEM programs for past 3 years such as Arduino, Micro:bits and robotics to schools and libraries based on the smart nation initiative roadmap.

He completed his Diploma in Electronic Engineering at Singapore Polytechnic and graduated with Bachelor of Electrical and Electronics Engineering from Nanyang Technological University and certified PMP (Project Management Professional).

Quah Chee Yong: Quah Chee Yong is a ACTA trainer. Chee Yong is an experienced professional who has held various Technical, Operations and Commercial positions across several industries A firm believer that AI can create a better world, he has equipped himself with the Knowledge and Skills in the fields of Data Science, Machine Learning, Deep Learning and Cloud Deployment He has a deep passion for training & facilitating and is currently a Singapore WSQ certified Adult Educator. He particularly enjoys the interactive engagements with his fellow trainers and learners

Solomon Soh Zhe Hong: Solomon is ACTA certified and has trained and coached over 100 professionals in the area of data science, python programming and coding. Solomon is a Certified AI Engineer Associate by AI Singapore and holds certifications in Alibaba Cloud Architect and Alteryx respectively. Solomon interests include Reinforcement Learning, Natural Language Processing and Time-Series analysis.

Customer Reviews (6)

thank you. Richard is very knowledgeable on this topic. Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

thank you. Richard is very knowledgeable on this topic.slides can be updated by the company to reflect updated github links. (Posted on 11/24/2021)