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

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

Deep Learning and Machine Learning with TensorFlow

Tensorflow is the most popular and powerful open source machine learning/deep learning framework developed by Google for everyone. Tensorflow has many powerful Machine Learning API such as Neural Network, Convolutional Neural Network (CNN), Recurrent Neural Network (RNN),  Word Embedding, Seq2Seq, Generative Adversarial Networks (GAN), Reinforcement Learning, and Meta Learning. This course will show you how to build deep learning applications using Tensorflow.

Course Highlights

  • 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

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant Applications

Click the links below to apply. Note that you need to register the course first.

For Singaporeans: SkillsFuture Credit

For Company: SSG Training Grant

For NTUC Members: UTAP

Course Code: CRS-N-0040561

Course Booking

$498.00 (GST-exclusive)
$532.86(GST-inclusive)

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.


Course Details

Day 1

Module 1 Overview of Machine Learning and Tensorflow

  • Overview of AI and Machine Learning
  • What is TensorFlow?
  • Tensor and Data Types
  • Install and Run TensorFlow

Module 2 Basic Tensorflow Operations

  • Graph and Session
  • Math Operations
  • Matrix
  • Placeholder
  • Variable

Module 3 Datasets

  • MNIST Handwritten Digits Dataset
  • CIFAR Image Dataset
  • One Hot Encoding/Decoding

Module 4 Tensorflow for Regression

  • Loss Function and Optimizer
  • Machine Learning Steps
  • ML on Linear Regression

Module 5 Tensorflow for Neural Network

  • What is Neural Network (NN)
  • Activation Functions
  • Deep Learning vs Machine Learning
  • Tensorflow NN for Handwritten Digit Classification
  • Softmax and Cross Entropy

Module 6 Keras for Neural Network

  • What is Keras
  • Keras for Handwritten Digit Classification
  • Visualizing Loss and Accuracy with Keras
  • Save and Load Model
  • Visualizing with Keras Tensorboard Callbacks

Day 2

Module 7 Convolutional Neural Network (CNN)

  • What is CNN?
  • CNN Architecture
  • Convolution Layers
  • Pooling and Dropout Layers
  • Tensorflow CNN for Handwritten Digit Classification
  • Keras CNN for Handwritten Digit Classification

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
  • Tensorflow RNN on IMDB datasets
  • Keras RNN on IMDB datasets

Module 9 Transfer Learning

  • What is Transfer Learning
  • Using Pre-Trained Models for Image Classification
  • Fine Tuning Pre-Trained Models for Image Classification

Module 10 TF.Data and Estimators (Optional)

  • What is TF.Data?
  • ETL Pipeline
  • TFRecords
  • What is Estimator?
  • Feature Columns and Input Function
  • Regression Estimator
  • Classification Estimator

Course Admin

Prerequisite

This is an intermediate course. The following knowledge is assumed:

  • Basic Python

Software Requirement

This course will use Google Colab for training. Please ensure you have a Google account.

Who Should Attend

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

Trainers

Tensorflow TrainerDr. 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 a 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.

Tensorflow 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.

Tensorflow 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.

Tensorflow 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".

Tensorflow 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 Tensorflow 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.

Tensorflow 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 (42)

Might RecommendReview by Bryan Tan Jun Yu
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
Improve on the logistics. The markers had no inks and the whiteboard is wobbly. Trainer had difficulty trying to use the whiteboard. (Posted on 7/29/2019)
Will RecommendReview by Mak CP
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 room facilities need improvement

The trainer is very knowledgeable with the course conducted in a rigorous & engaging manner. Thanks! (Posted on 7/29/2019)
Will RecommendReview by Heng Yong Sheng
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
. (Posted on 7/16/2019)
Will RecommendReview by Sue mak
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 datasets that can be easier to relate to (Posted on 7/16/2019)
Will RecommendReview by Michelle
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
. (Posted on 3/20/2019)
Will RecommendReview by Deric 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
The class room is small and not clean. (Posted on 12/19/2018)
Will RecommendReview by Ho Choon 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
An overview and brief explanation of tuning of important hyper parameters for would be useful. (Posted on 12/19/2018)
Will RecommendReview by Lie Wei Yen
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
May provide students visual desktop with standardised environment to install tensorflow/pycharm/jupyter. This will save preparation time with installation and configuration of the tools for the course. (Posted on 11/5/2018)
Will RecommendReview by Seow Boon Khoon
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 instructor explained the concepts very well. Good job! (Posted on 9/19/2018)
Will RecommendReview by Zhang Jie
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
Instruction of environment installation could be a bit clearer in the email sent before class starts.

The trainer is hand-on and with good domain knowledge. He provided a lot of useful information for us to explore after class. (Posted on 8/21/2018)
Will RecommendReview by Eric 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
better enforce required software installation/instructions to make the course more productive (Posted on 6/27/2018)
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)

Items 1 to 20 of 42 total

per page
Page:
  1. 1
  2. 2
  3. 3

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

Deep Learning with PyTorch

Deep Learning with PyTorch

5 Review(s)
$498.00 (GST-exclusive)
$532.86(GST-inclusive)
Deep Learning with Keras

Deep Learning with Keras

9 Review(s)
$298.00 (GST-exclusive)
$318.86(GST-inclusive)
Machine Learning on Raspberry Pi with Tensorflow

Machine Learning on Raspberry Pi with Tensorflow

1 Review(s)
$298.00 (GST-exclusive)
$318.86(GST-inclusive)
Machine Learning on iOS Devices with Core ML

Machine Learning on iOS Devices with Core ML

$298.00 (GST-exclusive)
$318.86(GST-inclusive)
Generative Adversarial Networks (GAN) Course for Beginners

Generative Adversarial Networks (GAN) Course for Beginners

$298.00 (GST-exclusive)
$318.86(GST-inclusive)
Deep Reinforcement Learning for Beginners

Deep Reinforcement Learning for Beginners

2 Review(s)
$298.00 (GST-exclusive)
$318.86(GST-inclusive)
Advanced Computer Vision Training

Advanced Computer Vision Training

3 Review(s)
$298.00 (GST-exclusive)
$318.86(GST-inclusive)
Deep Learning with Microsoft Cognitive Toolkit

Deep Learning with Microsoft Cognitive Toolkit

$498.00 (GST-exclusive)
$532.86(GST-inclusive)