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Basic TensorFlow OperationsGraph and Session

Training – Deep Learning using TensorFlow and Keras (IOT305)

May 7, 2020May 7, 2020 Leave a comment Deep Learning is a branch of machine learning that utilizes neural networks.
But how does a neural network work, and how does deep learning solve machine learning problems.
In this workshop, you will learn how to get started with deep learning using one of the most popular frameworks for implement ing deep learning – TensorFlow.
You will also use another API – Keras, which is built on top of TensorFlow, to m ak e deep learning more user-friendly and easier.

Introduction to Neural Networks

Deep Learning and Neural NetworksPerceptron and Neural Networks

Layers, Weights and Biases.
Activation Functions Softmax.
Le ak y ReLu.
Back Propagation.
Loss Functions Binary cross entrophy.
Categorical cross e ntr ophy.
Mean-squ are d error.
Optimizers – Gradient Descent, RMSprop, Adam.
Evaluating Performance .

Common Types of Neural NetworksConvolutional Neural Network (CNN)

Recurrent Neural Network (RNN).

What is TensorFlow?What is a Tensor?

Basic TensorFlow Operations Graph and Session.
Mathematical Operations .
Variables and Constants .
P lac eholders.
Visualizing your graph using TensorBoard.

Building a Perceptron using TensorFlow

Using Keras with TensorFlowImage Classifications

Text Cl ass ifications.
Cus tom Image Recognizer.

Transfer LearningWhat is Transfer Learning?

Using pre-trained models.
Fine-tuning pre-trained models.
Prerequisites Basic programming experience.
Understanding of basic object-oriented programming concepts.
Hardw are Mac / Windows laptop.
Softw are Anaconda (Python 3.7).
Visual Studio Code.
About the course Duration – 2-day.
Trainer – Wei-Meng Lee.
Standard price – 449 Eur + VAT.
Date – to be announced (if you’re interested, please contact [email protected]).
Location – online.
About Wei-Meng Lee  Wei-Meng Lee is a technologist and founder of Developer Learning Solutions (, a technology company specializing in hands-on training on the latest mobile technologies.
Wei-Meng has many years of training experiences and his training courses place special emphasis on the learning-by-doing approach.
His hands-on approach to learning programming makes understanding the subject much easier than reading books, tutorials, and documentations.
His name regularly appears in online and print publications such as,, and CoDe Magazine.

Some of Wei-Meng Lee’s Clients Agency for Science

Technology and Research (A-STAR).
Apple Singapore.
AXS Pte Ltd.
Centre for Strategic Infocomm Technologies.

Inland Revenue Authority of Singapore (IRAS)

Institute of Technical Education.
Microsoft Singapore.
Ministry of Defense.
Nanyang Polytechnic.
Nanyang Technological University (NTU).

National University of Singapore (NUS)

NCS Pte.
Ngee Ann Polytechnic.
Republic Polytechnic.
SBS Transit.

Singapore Management University (SMU)

Singapore Polytechnic.
Singapore Pools.
Singapore Press Holdings.
Temasek Polytechnic.
Walt Disney.
United States (US) Army.
Books by Wei-Meng Lee.
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