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Course Details
Topic 1 Introduction to Deep Learning
- Machine Learning vs Deep Learning
- Deep Learning Methodology
- Overview of Tensorflow Keras
- Install and Run Tensorflow Keras
- Basic Tensorflow Keras Operations
Topic 2 Neural Network for Regression
- What is Neural Network (NN)?
- Loss Function and Optimizer
- Build a Neural Network Model for Regression
Topic 3 Neural Network for Classification
- One Hot Encoding and SoftMax
- Cross Entropy Loss Function
- Build a Neural Network Model for Classification
Topic 4 Convolutional Neural Network (CNN)
- Introduction to Convolutional Neural Network?
- ImageDataGenerator
- Image Classification Model with CNN
- Data Augmentation and Dropout
Topic 5 Transfer Learning
- Introduction to Transfer Learning
- Applications of Pre-Trained Models
- Fine Tuning Pre-Trained Models
Topic 6 Recurrent Neural Network (RNN)
- Introduction to Recurrent Neural Network (RNN)
- LSTM and GRU
- Build a RNN Model for Time Series Forecasting
- Build a RNN Model for Sentiment Analysis
Course Info
Promotion Code
Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Age Group: 21-65 years old
Minimum Software/Hardware Requirement
Software:
You can download and install the following software:
Hardware: Windows and Mac Laptops
Job Roles
- Machine Learning Engineer
- Data Scientist
- Deep Learning Researcher
- AI Developer
- Neural Network Designer
- Computer Vision Engineer
- NLP Engineer (branching into deep learning)
- AI Product Manager (technical understanding)
- Robotics Engineer (with AI components)
- Bioinformatics Scientist (deep learning applications)
- Medical Imaging Specialist (AI-focused)
- Game Developer (AI-driven features)
- Predictive Analytics Specialist
- AI/ML Educator or Trainer
- Autonomous Systems Developer.
Trainers
Richard Wan: Richard Wan is a ACTA certified trainer. Richard Wan has more than 30 years of experience in software development in various computer disciplines, including computer vision, communication and digital publishing.
Technical expertise includes: Windows, Linux developments with C, C++, Delphi (Object Pascal), Visual Studio, OpenCV. Embedded system programming including microcontrollers, Arduino, Pi, BeagleBone etc.
Ken Yuen: Ken Yuen is a ACTA certified trainer. He has more than 10 years of experience working as an instructor, Application Development Engineer, Technical Consultant and Project Manager. He is an MOE-Registered Instructor teaching STEM programs for past 3 years such as Arduino, Micro:bits and robotics to schools and libraries based on the smart nation initiative roadmap.
He completed his Diploma in Electronic Engineering at Singapore Polytechnic and graduated with Bachelor of Electrical and Electronics Engineering from Nanyang Technological University and certified PMP (Project Management Professional).
Quah Chee Yong: Quah Chee Yong is a ACTA trainer. Chee Yong is an experienced professional who has held various Technical, Operations and Commercial positions across several industries A firm believer that AI can create a better world, he has equipped himself with the Knowledge and Skills in the fields of Data Science, Machine Learning, Deep Learning and Cloud Deployment He has a deep passion for training & facilitating and is currently a Singapore WSQ certified Adult Educator. He particularly enjoys the interactive engagements with his fellow trainers and learners
Solomon Soh Zhe Hong: Solomon is ACTA certified and has trained and coached over 100 professionals in the area of data science, python programming and coding. Solomon is a Certified AI Engineer Associate by AI Singapore and holds certifications in Alibaba Cloud Architect and Alteryx respectively. Solomon interests include Reinforcement Learning, Natural Language Processing and Time-Series analysis.
Customer Reviews (105)
- will recommend Review by Course Participant/Trainee
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. (Posted on 11/28/2024)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 - will recommend Review by Course Participant/Trainee
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. (Posted on 11/28/2024)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 - will recommend Review by Course Participant/Trainee
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. (Posted on 11/28/2024)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 - will recommend Review by Course Participant/Trainee
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second day content abit too heavy, can push some to first day (Posted on 9/19/2023)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 - will recommend Review by Course Participant/Trainee
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Lots of mistakes and errors in slides, the codes not able to copy and paste as it will appear many errors. Slides need updating urgently. (Posted on 7/25/2023)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 - might recommend Review by Course Participant/Trainee
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. (Posted on 7/25/2023)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 - will recommend Review by Course Participant/Trainee
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. (Posted on 4/18/2023)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 - will recommend Review by Course Participant/Trainee
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Richard is very knowledgeable and engaging. (Posted on 12/21/2022)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 - will recommend Review by Course Participant/Trainee
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. (Posted on 8/21/2022)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 - Generally very nicely organized f Review by Course Participant/Trainee
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Another example on detecting where in an image a car or a cat is (localization) would be a really good example if the instructor wants to.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 examples and codes provided were very very helpful, letting us know all the nitty gritty of data and model prep. Generally very nicely organized for professionals who know the basic concepts of ML but want practical introductions. (Posted on 9/22/2021) - The trainer teach very well, easy to follow. Review by Course Participant/Trainee
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Already Good (Posted on 9/19/2021)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 - will recommend Review by Course Participant/Trainee
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Will give a rating of 4.5 to the course, and to the trainer Chee Yong. He is qualified to teach. The initial morning was slow, but, on 2nd day, good that we have gone the concepts again.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
Will be good if there are hands-on session that we are expected to do ourselves during the session as throughout, the trainer hand-on us (Posted on 8/24/2021) - will recommend Review by Course Participant/Trainee
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How to apply it in real life e.g. how does real world deep learning works differenly from the provided codes.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 starting part was slow with theories. After lunch, momentum was there and learning was much interesting with more practical hands on. (Posted on 8/23/2021) - will recommend Review by Course Participant/Trainee
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More examples in Jupiter notebook (Posted on 8/19/2021)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 - will recommend Review by Course Participant/Trainee
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For Day 2 as the info get more complicated, kindly provide more guidelines and emphasis on the important points for effective learning. i would also like to feedback that such courses try to avoid zoom as it may affect the delivery of the course.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
Richard Wan is a patience and experience trainer and i learnt a lot from him. (Posted on 7/30/2021) - Dr Sudipta Samanta is very knowledgeable and explains complex concepts well in simple terms. Highly recommend. Review by Course Participant/Trainee
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. (Posted on 4/26/2021)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 - will recommend Review by Course Participant/Trainee
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. (Posted on 4/21/2021)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 - will recommend Review by Course Participant/Trainee
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. (Posted on 12/20/2020)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 - will recommend Review by Course Participant/Trainee
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. (Posted on 11/23/2020)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 - will recommend Review by Course Participant/Trainee
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. (Posted on 10/16/2020)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
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