Call +65 6100 0613 Email: enquiry@tertiaryinfotech.com

Instructor-led Classroom Adult Training in Singapore - Modular Fast Track Skill-Based Trainings

Deep Learning with Keras

Keras is a popular high level programming framework for deep learning that simplifies the process of building deep learning applications. Instead of coding in low level TensorFlow and provide all the details, Keras provides a simplified programming interface wrapper over Tensorflow. In this course, you will learn how use Keras for deep learning and machine learning,  CNN, RNN, and explore many powerful pre-trained deep learning models included in Keras.

  • Deep Neural Network (DNN) with Keras
  • Convolutional Neural Network (CNN) for for Image Processing with Keras
  • Transfer Learning with Keras
  • Keras Tensorboard Callbacks
  • Recursive Neural Network (RNNs) for Text Processing with Keras
  • Deployment to Google Cloud Platform


Click here to submit SkillsFuture Credit for Individual

SSG WSG SkillsConnect WDA Absentee Payroll for Company

Course Code: CRS-N-0043520

Course Booking

$298.00

Course Date

Course Time

* Required Fields

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.


Training Grant and Subsidy

All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses. Visit the SkillsFuture Credit website www.skillsfuture.sg/credit to choose from the courses available on the SkillsFuture Credit course directory

Course Details

Module 1 Getting Started on Keras

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

Module 2 Neural Networks

  • What is Neural Network ?
  • Basic Concepts of Machine Learning
  • Regression Application
  • Classification Application

Module 3 Convolutional Neural Network (CNN)

  • What is CNN?
  • CNN Architecture
  • Image Classification with CNN

Module 4 Transfer Learning

  • What is Transfer Learning
  • Pre-Trained Image Recognition Models
  • Fine Tuning Pre-Trained Models

Module 5 Recurrent Neural Network (RNN)

  • Sequential Data
  • What is RNN?
  • Types of RNN
  • How to train a RNN
  • Long Term Dependencies
  • LSTM and GRU Cells
  • RNN on IMDB datasets

Module 6 Visualization with Tensorboard

  • What is Tensorboard
  • Keras Callbacks

Module 7 Deployment (Optional)

  • Deploy model at Google Cloud Platform
  • Google Cloud API Services

Who Should Attend

  • Data Scientists
  • Data Analysts
  • Engineers

Prerequisite

Prerequisite

This is a intermediate course. The following knowledge is asumed:

  • Basic Python

Software Requirement

Please install the following software prior to the class

1. Pycharm : - Install Pycharm (https://www.jetbrains.com/pycharm/download/)

2 . Install Tensorflow on Mac

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

Alternatively, you can enter the following commands on your Mac terminal

pip3 install tensorflow

3 . Install Tensorflow on Window

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

Tensorflow only support Python 3.5, you can install Tensorflow in Python 3.5 the following ways:

Trainers

Keras Deep Learning Trainer 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.

Keras Deep Learning TrainerWee 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.

Python Keras TrainerJoel Foo graduated with a major in statistics and minor in computer science from NUS. He is well-versed in R and Python libraries/packages and has applied knowledge of statistics in data mining, time series analysis and deep learning. As the Business Intelligence Lead in an Israeli startup, Joel has experience in using BI tools such as Tableau to perform drill downs and harness insights from data. Currently, he is the co-founder and CEO of Geboto, a chatbot centric CRM platform for hospitality and F&B.

Python Keras TrainerDr. Ravi Kumar Tiwari got his PhD from NUS (Chemical Engineering) in 2013. After graduation, he worked 3 years as a research scientist in the Institute of High Performance Computing (IHPC). He is currently a big data R data analyst in Rakuten. His core skills are R, big data, Hadoop and machine learning.

Keras Machine LearningDr. Sudipta Samanta received his Ph.D. for his research in the field of computational Biophysics in 2009. He has more than 9 years research experience as a scientist. His current interests include Machine Learning, Deep Learning, Health Care Data analysis, and computer simulation. He is also the founder of "Baby Lion Organic medicinal Farm".

Keras Machine Learning TrainerJohnson Ang has a Masters in IT Analytics from SMU and is certified and a member of GARP, CQF andFSM. He has more than 8 years of working experience, of which 4 years of experience in the Banking Wide Operations and has been particularly involved in mega IT Analytic banking projects within the Risk Management and Financial Instrument sphere.

He can offer varied solid perspectives and has experience working with folks from all sorts of background, such as Developers, Traders/Dealers, CxOs, Programmers, Project Managers, Auditors, Head/Country Directors, Regulators, RMs, which is particularly during his stint in the Front, Middle and Back Office, as well as industry such as Real Estate, FMCG, Construction and Education Sector.

Not only he is familiar with typical banking software, but also has also been acquainted with popular tools such as SAS, JMP, Oracle, VBA, Access, Python, R, C, Java and many more. He has also developed a strong passion for Mathematics, Trading and Computing at a young age and has been a self-professed Algo-Trader having a Sharpe ratio of >3 and a passionate Math Tutor having taught over hundreds of students from Primary to University level.

Keras Machine Learning TrainerPushparaj Murugan has more than five years of research experiences in Industrial automation. He is specialized in Python libraries such as NumPy, Pandas, Matplotlib, Seaborn, SciKit-Learn, Tensorflow, Keras, Theano, etc. He had his experience working for Caterpiller inc. in developing a user interface using Matlab programming combining finite element analysis. In addition, he also worked for ARDB (Aeronautical Research and Development Board) and DRDO ( Defence Research and Development Organisation) in India on various research projects. He is currently doing his research at Nanyang technological university for Rolls Royce intelligence manufacturing section. He is working on automation of robotic abrasive belt grinding process using deep learning frameworks such as CNN and LSTM.

Keras Deep Learning TrainerDr. 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.

Python Keras TrainerMing Liang is an up-and-coming developer with expertise ranging from deep learning to hardware like the raspberry pi. He specialises mostly in the area of data science and machine learning and has won several hackathons and is ranked highly in international competitions. Furthermore, he has also done projects as part of the maker community in Singapore and build his own 3D printer as well

Customer Reviews (7)

Will RecommendReview by Samuel Ng
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
None. Stronger air conditioning might be nice (Posted on 5/13/2018)
Will RecommendReview by Lim Teck Por
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
Very good, but minor path bugs in python scripts can be fixed which might improve course a little (Posted on 5/1/2018)
Will RecommendReview by Alan
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
please add a few minutes more on why machine learnrng was held back by the seniors (Geoff Hinton and peers) avoiding Relu. (Posted on 4/16/2018)
Will RecommendReview by Pranay Pratik
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
Nil (Posted on 3/29/2018)
Will RecommendReview by Rohith Mars
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
The course material can be tailored for attendees from different background

Good course. May be quite heavy for a beginner. Can be split to 2 days to cover the entire material well. (Posted on 3/29/2018)
Will RecommendReview by Srikanth
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
Wesley has taught the concepts in a simplistic way which really helps (Posted on 3/29/2018)
Will RecommendReview by Shaun
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
Nil (Posted on 3/29/2018)

Write Your Own Review

You're reviewing: Deep Learning with Keras

How do you rate this product? *

  1 star 2 stars 3 stars 4 stars 5 stars
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
  • Reload captcha

Tags

Use spaces to separate Subjects. Use single quotes (') for phrases.

You May Be Interested In These Courses