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Enhance Your Employability with Certified Skills and Courses in Singapore - WSQ , IBF-STS, Skills Certification

Deep Learning with PyTorch

Embark on an enlightening journey into the realm of deep learning with PyTorch through Tertiary Courses. Our meticulously crafted curriculum begins with the foundational step of installing PyTorch, followed by elucidating math operations crucial for complex computations. As we traverse deeper, participants will gain hands-on experience in designing and implementing neural networks, the backbone of any deep learning algorithm.

The course transcends the basics as it immerses students in advanced modules like image recognition through Convolutional Neural Networks (CNNs) and processing sequential data using Recurrent Neural Networks (RNNs). With a blend of theoretical knowledge and practical sessions, this course promises to equip you with the competencies to harness the full potential of PyTorch in deep learning endeavors.

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.

SkillsFuture Credit

For individuals, please submit your SkillsFuture Credit

SSG TG and AP Application

For companies, please fill in the required details for grant application. SSG Training Grant Application Form

Please do not pay up front. We will advise you on the eligibility and nett fee after registration

For WSQ funding, please checkout the details at WSQ – Predictive Modeling with Pytorch

Course Code: TGS-2020501498

Course Booking

The course fee listed below is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

$498.00 (GST-exclusive)
$542.82 (GST-inclusive)

Course Date

Course Time

* Required Fields

Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts and get back to you asap.

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

Topic 1 Overview of Deep Learning and Pytorch

  • Overview of Deep Learning
  • Introduction to Pytorch
  • Install and Run Pytorch
  • Basic Pytorch Tensor Operations
  • Computation Graphs
  • Compute Gradients with Autograd

Topic 2 Neural Network for Regression

  • Introduction to Neural Network (NN)
  • Activation Function
  • Loss Function and Optimizer
  • Machine Learning Methodology
  • Build a NN Predictive Regression Model
  • Load and Save Model

Topic 3 Neural Network for Classification

  • Softmax
  • Cross Entropy Loss Function
  • Build a NN Classification Model

Topic 4 Convolutional Neural Network (CNN)

  • Overview of CNN
  • Convolution, Max Pooling and Padding
  • Build a CNN Model for Image Classificaiton
  • Overfitting Issue with Small Dataset
  • Techniques to overcome Overfitting Issue

Topic 5 Transfer Learning

  • Introduction to Transfer Learning
  • Pre-trained Models
  • Feature Extraction & Fine Tuning for Small Dataset

Topic 6 Recurrent Neural Network (RNN)

  • Overview of RNN
  • Long Term Dependencies
  • LSTM and GRU
  • Apply LSTM to Time Series Forecasting

Course Admin

SSG Training Grant

SSG TG is $30 per pax. Net fee after SSG TG is $512.82. Absentee Payroll is not eligible.

Prerequisite

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

Software Requirement

Please install the following software prior to the class

1. Pycharm : - Install Pycharm (https://www.jetbrains.com/pycharm/download/)

2 . Install Pytorch 

Please follow this guide to install Pytorch https://pytorch.org/get-started/locally/

Who Should Attend

  • 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

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.

Marcel Leng: Marcel Leng is a ACTA certified. Marcel graduated with majors in Applied Mathematics and Physics from the National University of Singapore.

His core specialisation skills are R, Python, Machine Learning, Statistical Analysis, and Data Visualisation in Tableau. His current interests include Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, Robotics and Programming.

Customer Reviews (10)

will recommend Review by Course Participant/Trainee
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 trainer is patient and good (Posted on 11/26/2023)
will recommend Review by Course Participant/Trainee
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 3/1/2023)
will recommend Review by Course Participant/Trainee
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
so far so good (Posted on 3/1/2023)
might recommend Review by Course Participant/Trainee
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 training material is not very complete in terms of the codes given in the slides. (Posted on 5/22/2022)
The course is good. The instructors are knowledgeable. Review by Course Participant/Trainee
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 is good. The instructors are knowledgeable. Would be better if the course classrooms are in a nicer location. The current classrooms / building where the classes are held are very run-down. (Posted on 2/4/2020)
Will Recommend Review by Course Participant/Trainee
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 better organised room and please clean the room. Example put the TV on a mobile TV stand and arrange the seating so that trainer and tranee don't have to strain themselves looking between the board/PC/TV.

Dr. Sudipta Samata is an excellent trainer. He presents complex concept in simple terms for easy understanding even by not quite technical people like myself. His wealth of knowledge in various areas makes the entire topic very exciting. The course will give participant a good grasp of deep learning and various neural network. Enough for management to make decision if what direction to take with this technology while researcher/programmer will be able to start immediately trying out different models. (Posted on 7/22/2019)
Will Recommend Review by Course Participant/Trainee
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
Should have basic and advanced training courses using PyTorch (Posted on 9/6/2018)
Will Recommend Review by Course Participant/Trainee
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 specific installation details given at the start such as python version and how to test to ensure it is working so time can be saved during the course itself

The course was a good overview and insightful with useful materials (Posted on 6/21/2018)
Will Recommend Review by Course Participant/Trainee
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
As Deep Learning is a stranger for me, a brief of whole picture of history, current knowledge / area (what have in previous, now, what is hot) is good. (Posted on 10/2/2017)
Will Recommend Review by Course Participant/Trainee
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
Possible to be one week course and more details in case study. (Posted on 10/2/2017)

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