Call +65 6100 0613

Instructor-Led Classroom Adult Training in Singapore - Learn New Skills to Enhance Your Employability from our SkillsFuture Courses

Deep Learning and Machine Learning with TensorFlow

Deep learning (also known as deep structured learning, hierarchical learning or deep machine learning) is a branch of machine learning based on a set of algorithms that attempt to model high level abstractions in data. TensorFlow is one of the newest and most comprehensive libraries for implementing deep learning. This course will show you how to build deep learning applications using Tensorflow.

The topics include

  • Installing TensorFlow
  • Math Operations with TensorFlow
  • Neural Networks with TensorFlow
  • Deep Learning with Tensorflow
  • Image Recognition with Convolutional Neural Network (CNN)
  • Text Analysis with Recurrent Neural Network (RNN)
  • Keras
  • Eager Mode

Click here to submit SkillsFuture Credit for Individual

SSG WSG SkillsConnect WDA Absentee Payroll for Company

Course Code: CRS-N-0040561

Course Booking

$498.00

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

Day 1

Module 1 Getting Started 

  • What is TensorFlow
  • Install and Run TensorFlow

Module 2 Basic Tensorflow Operations

  • Constant
  • Graph Operation
  • Math
  • Matrix
  • Placeholder
  • Variable

Module 3 Datasets

  • MNIST Handwritten Digits Dataset
  • CIFAR Image Dataset
  • One Hot Encoding/Decoding
  • Split Dataset to Training/Testing 

Module 4 Machine Learning on TF

  • Regression ML Model
  • Loss Function 
  • Optimizer
  • Training
  • Save and Load Model

Module 5 Neural Network (NN)

  • What is Neural Network
  • Activation Functions
  • Deep Neural Network on MNIST

Day 2

Module 6 Tensorboard

  • What is Tensorboard?
  • Visualize a Tensorboard Graph
  • Output Data to Tensorboard

Module 7 Convolutional Neural Network (CNN)

  • What is CNN?
  • CNN Architecture
  • Convolution Layers
  • Pooling and Dropout Layers
  • CNN on MNIST dataset

Module 8 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 dataset

Module 9 Keras

  • What is Keras?
  • NN with Keras
  • CNN with Keras
  • Transfer Learning with Keras
  • RNN with Keras

Module 10 Appendix (Optional)

  • TF Estimators
  • Eager Mode

Who Should Attend

  • Data Scientists
  • Data Analysts
  • Machine Learning Engineers and Developers

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

Chief Trainer in Tertiary CoursesDr. 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.

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.

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.

Python 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 TrainerDr Brandon Ooi has a Bachelors degree in Computer Engineering and a PhD in Bioengineering from the National University of Singapore. He has published papers on machine learning, bioinformatics and microarray data analysis. He has six years of teaching experience at the polytechnic level and was also involved in the creation and teaching of modules for adult learners.

Python TrainerDr. Sarita Singh received her Ph.D. degree for her work done in the area of Information Security. She is the recipient of the prestigious Infosys fellowship for pursuing her Ph.D. Programme. She has more than twenty-five years of teaching and research experience in Singapore, Malaysia and India in the field of Programming, Information Security, Web-application Development, Computer Networks and Engineering related modules.

She has presented papers at several National and International Conferences and has written articles for magazines. She has authored text-books for Engineering courses as well.

Robotics Python 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

Big Data TrainerSunny 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

Customer Reviews (31)

Will RecommendReview by Cheng Ze Wei
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
More examples and explanation on how different methods are more suitable for different applications. (Posted on 6/19/2018)
Great trainer and i appreciate his knowledge and skills, Thank youReview by Vikram Gupta
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
Going slow and in detail in RNN / CNN (cover less but cover in depth) (Posted on 6/10/2018)
Will RecommendReview by Chetan Potnis
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
This course should have 1st day for preparation of tools to be used for hands-on. So can make this course fro 3 days (Posted on 6/10/2018)
Will RecommendReview by Chia Wei Kang
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 6/10/2018)
Will RecommendReview by cher zhong ming
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
2 days course could be too short to have meaningful depth in the subject (Posted on 6/10/2018)
Will RecommendReview by Chew kwang seng
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
Be more specific to student’s request

I am from banking industry and I hope the trainer can share more with me regarding building credit scoring models to predict defaults (Posted on 4/30/2018)
Might RecommendReview by Zhi Heng
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 4/29/2018)
Might RecommendReview by KOH LIQ HANN
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 4/19/2018)
Might RecommendReview by Yoke Yuan
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
Get a larger training venue or limit the number of people in the course! (Posted on 3/29/2018)
Might RecommendReview by LIM QI JIAN
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
More emphasis of why it works than how it works (Posted on 3/21/2018)
Will RecommendReview by Lum Wei Wah
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
Probably to include/cover more on Keras examples and adding exercises on transfer learning (e.g. retrain the top few layers and freeze the rest) just as using image/speech data. Would be good to cover a bit on using the TensorFlow GPU version to run real application problems, giving the students a glimpse of how to start if using the GPU to run. (Posted on 3/21/2018)
Might RecommendReview by Chan YongWen
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
Provide a summary of use cases on when various functions and parameters are used (Posted on 2/20/2018)
Might RecommendReview by Yew Wan Qing
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
Niil (Posted on 2/20/2018)
Will RecommendReview by Leticia
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
Maybe describe the concepts first hand and show it per programmatically. Would be good to extend to ensure that basic understanding of how the concepts and algorithms relate line by line, especially with more images.

/A. I grasped a basic understanding of deep learning and how it functions so it helps me to get started. (Posted on 2/4/2018)
Will RecommendReview by Ashish James
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
Course gives an overview of tensorflow. Machine learning concepts and deep learning are not much covered. Should give a bit more emphasis on those concepts (Posted on 1/18/2018)
Might RecommendReview by Girubakaran
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
Course material needs to improve. Firstly, material provided was just a BW printout. Simple binded colour printouts will be helpful. With BW images, you cant really do much to recall the conten (Posted on 12/11/2017)
Will RecommendReview by Low Pang Liang
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
Niil (Posted on 12/11/2017)
Will RecommendReview by Kevin
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
Can extend for 30 min each day and cover RNN using Keras. (Posted on 11/22/2017)
Will RecommendReview by Ian Lee
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
Explain more on the theory of neural networks.

Would be good to have a 3 day course and less intensive pace. (Posted on 11/22/2017)
Will RecommendReview by Magdalene Lim
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
Use more external datasets for testing, simple cleaning of data and training, then testing.

Thanks Alfred! (Posted on 11/22/2017)

Items 1 to 20 of 31 total

per page
Page:
  1. 1
  2. 2

Write Your Own Review

You're reviewing: Deep Learning and Machine Learning with TensorFlow

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

Other people marked this product with these Subjects:

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

You May Be Interested In These Courses