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Deep Learning

Introduction to Deep Learning Neural Networks Backpropagation algorithm Convolutional Neural Networks (CNNs) Convolutional Neural Networks (CNNs) Recurrent Neural Networks (RNNs) Optimization Techniques Deep Learning Frameworks Applications of Deep Learning Summery

NOC Number:

Dr. Saranya Vasanthamani | Author Level 1

What You Will Learn

Course Learning Outcome (CLO):

Students who will complete this course can achieve the following course learning outcomes (CLOs):

  • CLO1: Understand the fundamentals of neural networks, including activation functions, loss functions, and optimization algorithms.

  • CLO2: Preprocess and prepare data for deep learning models, including techniques such as data augmentation, normalization, and handling missing data.

  • CLO3: Train and evaluate deep learning models for various tasks, such as image classification, object detection, speech recognition, and natural language processing.

  • CLO4: Understand the principles and architecture of popular deep learning models such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers.

Keywords:

Deep learning, image and speech recognition, natural language processing, playing games.

Course Description:

Deep Learning is a subfield of machine learning that uses neural networks with multiple layers to learn and extract features from data. Deep learning algorithms are capable of learning hierarchical representations of data, meaning that they can learn increasingly abstract and complex features from lower-level features. The use of deep neural networks allows for the creation of models that can perform a wide range of tasks, including image and speech recognition, natural language processing, and playing games. Deep Learning requires a large amount of data and computational resources, but has shown remarkable success in many applications and has become a key component in many modern artificial intelligence systems.

2 Natural and applied sciences and related occupations
21 Professional occupations in natural and applied sciences
212 Professional occupations in applied sciences (except engineering)
2122 Computer and information systems professionals

The importance of taking NOC courses:

This course is designed to train our students to find jobs in the Canadian labour market using the National Occupational Classification (NOC) and its codes. The Government of Canada developed the NOC to categorize occupational information in the Canadian labour market through a standardized framework and a system that can be easily managed, understood, and unified. Canadian Immigration (i.e., IRCC) uses the NOC to classify jobs and occupations according to specific skill levels. Canada's jobs are ranked according to a person's work and the roles and responsibilities of the job.

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Meet Your Instructor

Instructor
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0 Students
Author Level 1
16 Courses
About Instructor

Prof. Saranya is the Instructor at NSRIC Inc. She is also the Associate Professor in Computer Science Engineering (ENG) at Anna University Colleges. In addition to her current affiliation with NSRIC, she holds freelance faculty positions in some other universities. Prof. Saranya is the founder of Algorithmics Computing Centre in India, She has mentored projects under the Smart India Hackathon for various ministries. She has published journals in reputed articles such as Springer, and many journals indexed by Elsevier. She has also published books in Amazon like Octave by examples, Points to Ponder for Python, and so on. She has also published book chapters about the updating of recent trends by IGI global publishing. In 12 years professional career, Dr, Saranya has Served on academic or administrative committees to deal with institutional policies along with preparing and delivering lectures to undergraduate and graduate students on topics such as programming languages, data structures, networking, software design, AI, Blockchain technologies and so on.

 

Prof. Saranya earned a B.Tech in Information Technology from Anna University, India in 2009, and an M.E in Software Engineering from Anna University in 2011. Dr. Saranya was awarded PhD in Information and Communication Engineering in 2019 and an MBA(Information Systems) degree in 2014 by Bharathiyar University, India.

 

Section Name Lecture Name Lecture Date Lecture Time
(Toronto, Canada - EST Time)
Lecture Time
(Local Time)
Section I (Current) Session 1 Fri-25-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Mon-28-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Tue-29-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Fri-01-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Mon-04-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Tue-05-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Fri-08-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Mon-11-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Tue-12-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Fri-15-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Upcoming) Session 1 Fri-29-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Mon-02-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Tue-03-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Fri-06-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Mon-09-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Tue-10-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Fri-13-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Mon-16-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Tue-17-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Fri-20-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Fri-19-Jan-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Mon-22-Jan-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Tue-23-Jan-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Fri-26-Jan-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Mon-29-Jan-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Tue-30-Jan-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Fri-02-Feb-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Mon-05-Feb-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Tue-06-Feb-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Fri-09-Feb-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Fri-23-Feb-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Mon-26-Feb-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Tue-27-Feb-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Fri-01-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Mon-04-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Tue-05-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Fri-08-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Mon-11-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Tue-12-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Fri-15-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Fri-29-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Mon-01-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Tue-02-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Fri-05-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Mon-08-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Tue-09-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Fri-12-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Mon-15-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Tue-16-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Fri-19-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Fri-03-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Mon-06-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Tue-07-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Fri-10-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Mon-13-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Tue-14-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Fri-17-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Mon-20-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Tue-21-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Fri-24-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Fri-07-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Mon-10-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Tue-11-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Fri-14-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Mon-17-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Tue-18-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Fri-21-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Mon-24-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Tue-25-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Fri-28-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Fri-12-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Mon-15-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Tue-16-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Fri-19-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Mon-22-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Tue-23-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Fri-26-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Mon-29-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Tue-30-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Fri-02-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Fri-16-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Mon-19-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Tue-20-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Fri-23-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Mon-26-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Tue-27-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Fri-30-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Mon-02-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Tue-03-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Fri-06-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Fri-20-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Mon-23-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Tue-24-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Fri-27-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Mon-30-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Tue-01-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Fri-04-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Mon-07-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Tue-08-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Fri-11-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
video
  • Course Duration
    13 Hours 0 Minutes
  • Course Level
    Foundation
  • Discipline
    Information and Communication Technology (ICT)
  • Language
    English
This Course Includes
  • 1 Modules
  • 9 Lectures
  • Full Lifetime Access
  • Certificate of Completion