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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
  • TFLearn


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Course Code: CRS-N-0040561

Course Booking

$498.00

Course Date

Course Time

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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 Getting Started 

  • What is TensorFlow
  • Install and Run TensorFlow

Module 2 Basic Tensorflow Operations

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

Module 3 Datasets

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

Module 4 Machine Learning on TF

  • TF Graph Model
  • Loss Function 
  • Optimizer
  • Training
  • Metrics

Module 5 Neural Network (NN)

  • What is Neural Network 
  • Activation Functions
  • Create a Deep Neural Network on TF
  • TensorFlow Playground

Module 6 Tensorboard

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

Day 2


Module 7 Convolutional Neural Network (CNN)

  • What is CNN?
  • CNN Architecture
  • Convolution
  • Pooling and Stride
  • Dropout

Module 8 Recurrent Neural Network (RNN)

  • What is RNN?
  • How to train a RNN
  • Long Term Dependencies
  • LSTM Cell
  • GRU Cell

Module 9 Keras

  • What is Keras?
  • Install Keras
  • Neutral Network with Keras
  • Inception V3 Transfer Learning

Module 10 TFLearn

  • What is TFLearn?
  • Install TFLearn
  • Neutral Network with TFLearn

Who Should Attend

  • Data Scientists
  • Data Analysts
  • Engineers

Prerequisite

Basic Python knowledge is assumed

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 1997 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.

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.

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 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 (10)

Might RecommendReview by LI ZUGUANG
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
1. the desk is too small; 2. trainer should have more Actual experience and guide trainee to totally understand relative skills

Before the course, trainer should help trainees install all of the relative tools and make sure they work.
(Posted on 9/15/2017)
Will RecommendReview by Lawrence Choo
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 7/24/2017)
Might RecommendReview by Cai Zhi Qiang
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 7/20/2017)
Will RecommendReview by Justin Ker
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
Fantastic course! Trainer was very knowledgeable with the latest aspects of machine learning. Would definitely recommend this course. Five stars!

More time with TF learn / Keras and less time with Tensor flow (Posted on 7/18/2017)
Will RecommendReview by Esther 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
Nil (Posted on 7/18/2017)
Will RecommendReview by Foo Yee Ling
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 more guidance in installing the open source tools across various platforms (e.g., windows, linux, etc) (Posted on 7/17/2017)
Might RecommendReview by Samuel Wong
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 6/28/2017)
Great courseReview by Pier
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
Learnt a lot from this course, great trainer.
I do think that 3 days would be just right as the coverage is a tad intense. (although I do understand why it is 2 days ;) ) (Posted on 5/22/2017)
Will RecommendReview by Saranya Kandan
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
Add one more day to the course, to explain certain concepts in detail. Touching upon some theory would also be good - like back propagation (Posted on 5/22/2017)
Will RecommndReview by Peter Cronje
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 should possibly be 3 days as there is allow to cover and allot more that can be covered.


Please like our facebook page https://www.facebook.com/TertiaryCourses/ and enjoy 10% discount for our next course using the discount code "LIFELONGLEARNING" (Posted on 3/27/2017)

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