• Home
  • Deep Learning for Image Classification Using Keras

Deep Learning for Image Classification Using Keras

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

Download Course Brochure

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.

Deep Learning for Image Classification Using Keras

Course Code: C873

Be the first to review this product

What's This Course About

Dive into the dynamic world of deep learning and discover the power of Keras for image classification. This course unveils the essential techniques and tools to unlock your potential in AI-driven computer vision projects. From the foundational concepts of neural networks to practical implementations, we cover it all.

Whether you're an aspiring data scientist, a machine learning enthusiast, or a professional looking to upscale, this course is your gateway to mastering image classification using Keras. Through hands-on examples, industry-grade projects, and expert guidance, you'll be equipped to tackle real-world challenges with confidence. Join us on this transformative journey.

WSQ Funding

Full Fee ₵7,200.00 Before GST
GST ₵648.00 9% of fee
Baseline Nett ₵4,248.00 SG/PR age 21+ · 50% funded
MCES / SME Nett ₵2,808.00 SG age 40+ · 70% funded
Funding and Grant Applications

No funding is available for this course.

For WSQ funding, please checkout the details at WSQ – Building Your First Machine Learning Model with Python and Tensorflow

Course Fee

₵7,200.00

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.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to info@tertiarycourses.com.gh 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 Keras Basics

What is Keras

Keras vs TensorFlow

Google Colab

Install and Run Keras on Google Colab

Topic 2 Image Classification Model with Feedforward Neural Network (NN)

What is Feedforward NN

One Hot Encoding

Cross Entropy and SoftMax

MNIST Dataset

NN Image Classification NN Model for HandWritten Digits

Topic 3 Image Classification with Convolutional Neural Network (CNN)

What is CNN?

CNN Architecture

CNN Image Classification for HandWritten Digits

Image Class Generator and Fit Generator

CNN Image Classification for Cats and Dogs Images

Solving Overfitting with Dropout & Data Augmentation

Mini Project on Image Classification

Topic 4 Image Classification with Transfer Learning

What is Transfer Learning

Image Classification with Pre-Trained Models

Fine Tune Pre-Trained Models

Mini Project on Transfer Learning

Topic 5 Keras Functional CNN Model

What is Functional API

Split CNN Model for Image Classification

Mini Project on Functional CNN Model

Topic 6 Object Detection with Mask R-CNN

Overview of R-CNN Models

Mask R-CNN Demo

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

Hardware: Windows and Mac Laptops

Job Roles

Job Roles

  • Machine Learning Engineer
  • Data Scientist
  • Deep Learning Researcher
  • AI Developer
  • Neural Network Designer
  • Computer Vision Engineer
  • NLP Engineer (branching into deep learning)
  • AI Product Manager (technical understanding)
  • Robotics Engineer (with AI components)
  • Bioinformatics Scientist (deep learning applications)
  • Medical Imaging Specialist (AI-focused)
  • Game Developer (AI-driven features)
  • Predictive Analytics Specialist
  • AI/ML Educator or Trainer
  • Autonomous Systems Developer.

Trainers

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

Review

Write Your Own Review

You're reviewing: Deep Learning for Image Classification Using Keras