Deep Learning for Image Classification Using Keras

Image recognition and classification is a rapidly growing field in the area of machine learning. In particular, object recognition is a key feature of image classification, and the commercial implications of this are vast.

In this course, you will learn how to build basic to advanced image classification model using Keras. Keras is a high level API library for tensorflow. The topics include:

• Neural Network with Keras
• Build a CNN Image Classification Model with Keras
• Functional API
• Transfer Learning with Keras

Module 1 Keras Basics

• What is Keras
• Keras vs TensorFlow
• Install and Run Keras

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

• What is Feedforward NN
• One Hot Encoding
• Cross Entropy and SoftMax 
• Classification Model with NN

Module 3 Image Classificaiton with Convolutional Neural Network (CNN)

• What is CNN?
• ConvNET Architecture
• Image Classification with ConvNET
• Image Class Generator
• Fit Generator
• Flow from Directory Generator
• ConvNET with Small Datasets
• Overfitting - Dropout & Data Augmentation
• Visualize ConvNET Layer

Module 4 Keras Functional API

• What is Functional API
• Code Sequential Models with Functional API
• Fine Tune Transfer Learning with Functional API
• Implement GAN with Functional API
• Create Multi Input and Output Model

Module 5 Image Classification with Transfer Learning

• What is Transfer Learning
• Pre-Trained Models
• Data Augmentation
• Fine Tune Pre-Trained Models
• Visualize VGG16 layers

Module 6  Image Classification with R-CNN

• R-CNN
• Fast R-CNN
• Faster R-CNN
• Mask R-CNN
• Mask R-CNN Demo

Dr. Alfred Ang is the founder of Tertiary Courses. He is a serial entrepreneur. He founded OSWeb2Design Singapore Pte Ltd in 2007 offering web development, e-commerce store development, graphics design, ebook publishing, mobile apps development, and digital marketing services. He established the first online gardening store in Singapore, Eco City Hydroponics Pte Ltd in 2000, offering a wide range of gardening products such as seeds, plant nutrients, hydroponics kits etc. Eco City Hydroponics has become the most popular and successful gardening store in Singapore. He founded Tertiary Infotech Pte Ltd in 2012 and transformed the business to a training platform, Tertiary Courses in 2014. Tertiary Courses offers a wide range of SkillsFuture courses for PMETs to upgrade their skills and knowledge. He also established Tertiary Courses Malaysia in 2016. He also founded Tertiary Robotics in 2015 offering Arduino, Raspberry Pi, Microbit and Robotics products

Dr. Alfred Ang earned his Ph.D. from National University of Singapore in 2000, majoring in Electrical and Electronics Engineering. He also completed an online MBA course with U21 Global based in Australia. He obtained his B.Sc (Hons) from National University of Singapore in 1992, majoring in Physics. He topped his Physics cohort for 3 consecutive years and funded his degree study with Book prizes, Study awards, bursaries and tuition. He has worked in Defence, Electronics and Semiconductor Industries. His current interests include Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, Robotics and Programming.

Dr. Alfred Ang is ACTA certified trainer. He was Distinguished Toastmasters (DTM) and Senior Member of IEEE. He has published more than 20 peer reviewed papers and co-inventors for more than 20 inventions.

Wee Chee Hong is a veteran consultant in the field of Engineering Design. He has over 20 years experience in electronics/ IT industry with several MNCs including Compaq, Adaptec, Agilent, etc., with specialization in Automation System Design (drilling/ milling machine, 3D machine automation, machine data collection, test & measurement electronics design), Motion control design & applications. With wide technical skill set in development language/ tools .Net, Java, PowerBuilder to C++/ C/C#, he has also strong knowledge in development of firmware for microcontroller such as PIC, ARM and others.

Chee Hong graduated with a B.Eng degree in Electrical Electronics Engineering and holds a Master Degree of Technology from NUS.