Deep Learning with Microsoft Cognitive Toolkit

Microsoft Cognitive Toolkit (a.k.a CNTK) empowers you to harness the intelligence within massive datasets through deep learning by providing uncompromised scaling, speed, and accuracy with commercial-grade quality and compatibility with the programming languages and algorithms you already use.

The topics cover

• Microsoft Cognitive Toolkit Python API
• Image Classification with Deep Neural Network
• Image Classification with Convolutional Neural Network (CNN)
• Sequence Modeling with Recurrent Neural Network (RNN)
• Generative Adversarial Networks (GAN)

Module 1 Getting Started 

• What is Microsoft Cognitive Toolkit
• Install and Run Microsoft Cognitive Toolkit Python API

Module 2 Datasets

• MNIST Handwritten Digits Dataset
• CIFAR Image Dataset
• Iris Flower Dataset

Module 3 Machine Learning with  Microsoft Cognitive Toolkit

• Loss Function  and Optimizer
• Linear Regression Model
• Logistics Regression Model
• Save and Load Model

Module 4 Neural Network (NN) with Microsoft Cognitive Toolkit

• What is Neural Network
• Activation Functions
• MNIST Handwritten Digit Recogition with Neural Network

Module 5 Convolutional Neural Network (CNN)

• What is Convolutional Neural Network?
• CNN Architecture
• MNIST Handwritten Digit Recogition with CNN 
• Transfer Learning
• ResNET

Module 6 Recurrent Neural Network (RNN)

• What is Recurrent Neural Network?
• Language Understanding with RNN
• LSTM Based Time Series
• Sequence to Sequence Modeling

Module 7 Object Recognition with R-CNN

• What is Object Recogintion?
• What is R-CNN?
• Fast R-CNN 
• Faster R-CNN

Module 8 Generative Adversarial Network (GAN)

• What is Generative Adversarial Network ?
• Deep convolutional GAN (DCGAN) network

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 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.

Dr. Yongxin (Steve) has more than five years of solid industrial and research experiences in data analytics. He held PdD on operations research in National University of Singapore. After his Phd study, he worked as data analyst and scientist in manufacturing and commodity trading companies. He is specialized in analyzing, visualizing and mining complex time series data using Python tools sucha as Pandas, Numpy, Matplotlib, SK-Learn, Tensorflow etc. He did research on predictive analytics on various systems e.g., Forex and commodity trading, system performance prediction, machine maintenance, etc. Besides data analytics using Python, he also extended his expertise in Microsoft Excel VBA, Hadoop big data platforms such as AWS and Microsoft Azure. In addition, he is strong in mathematical modelling and has cross-disciplinary domain knowledge in operations research, currency and commodity trading and industrial automation.

Sunny Prakash is a Big Data Architect with Programming Background . He has around 7 years of IT experience. He has worked on Various Enterprise level solution. He is skilled in Cloud computing and Big Data Solution building in various Industrial sector and domain.

With an Strong background in Coding skills, he has a strong grips on Java,Python ,Scala ,HTML,JavaScript, Node Programming. Data Science is another specification where he has worked with larger Enterprises for finding their Data Insight and building Machine Learning mode