Course information

Deep Learning Course Outline

Module 1: Machine Learning Basics

  • What is Machine Learning?
  • Need for Machine Learning
  • Types of Machine Learning

Module 2: Introduction to Deep Learning

  • Importance of Deep Learning
  • How Deep Learning Works?
  • Difference Between Deep Learning and Machine Learning

Module 3: Artificial Neural Network

  • Introduction
  • Characteristics of Artificial Neural Network

Module 4: Deep Neural Networks

  • Feedforward Networks
  • Convolutional Neural Networks
  • Recurrent Neural Networks

Module 5: Linear Algebra

  • Mathematical Objects
  • Computational Rules in Linear Algebra
  • Matrix Multiplication Properties

Module 6: Probability

  • Terminology
  • Random Variables
  • Probability Distributions
  • Marginal Probability
  • Conditional Probability
  • Chain Rule of Conditional Probabilities
  • Baye’s Rule

Module 7: Auto Encoders

  • Need of Auto Encoder
  • Architecture of Auto Encoders
  • Applications of Auto Encoders

Module 8: Computational Graphs

  • What are Computational Graphs?

Module 9: Monte Carlo Methods

  • Introduction
  • Machine Learning in Monte Carlo Method

Module 10: Deep Generative Models

  • Introduction
  • Boltzmann Machines
    • Functioning of Boltzmann Machines

Module 11: Deep Learning Applications

  • Applications of Deep Learning

Module 12: Libraries and Frameworks

  • Libraries
  • Framework
    • Features of Deep Learning Framework

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Who should attend this Deep Learning Course?

This Deep Learning Training Course aims at equipping individuals with knowledge of Natural Language Processing, Robotics, and even Healthcare. This course will teach Deep Learning algorithms, technologies, and applications providing learners the skills needed to implement and adapt Deep Learning models for different tasks. This course can be beneficial for a wide range of professionals, including:

  • Data Scientists
  • Machine Learning Engineers
  • Research Scientists
  • Software Developers
  • Artificial Intelligence (AI)/Machine Learning (ML) Product Managers
  • Business Analysts
  • Finance Professionals

Prerequisites of the Deep Learning Course

To attend this Deep Learning Training Course, delegates should have a basic understanding of Python, Linear Algebra, and Probability.

Deep Learning Course Overview

Deep Learning is a subset of Artificial Intelligence (AI) that focuses on algorithms inspired by the structure and function of the human brain's neural networks. It's pivotal in revolutionising industries like healthcare, finance, and technology by enabling machines to learn from data, recognise patterns, and make intelligent decisions autonomously.

Proficiency in Deep Learning Course is crucial for Data Scientists, AI Engineers, Software Developers, and Researchers. Mastering this field empowers professionals to create innovative image and speech recognition solutions, natural language processing, autonomous vehicles, and predictive analytics. It is essential for those aiming to stay competitive and drive technological advancements across various industries.

This intensive 1-day course equips delegates with fundamental concepts and practical skills in deep learning. Through hands-on workshops and expert-led sessions, delegates comprehensively understand neural networks, convolutional and recurrent neural networks, and their applications. Delegates learn to implement deep learning models, interpret results, and optimise algorithms for diverse real-world scenarios.

Course Objectives

  • To understand the foundational principles of neural networks
  • To explore various deep learning architectures, including CNNs and RNNs
  • To apply Deep Learning algorithms in image and speech recognition tasks
  • To analyse and interpret profound learning model results effectively
  • To optimise and fine-tune neural networks for improved performance
  • To comprehend ethical considerations in deploying deep learning solutions
  • To develop practical skills through hands-on exercises and case studies
  • To foster confidence in applying deep learning techniques in real-world projects

After completing the course, delegates receive a certification validating their proficiency in deep learning fundamentals. This certification attests to their understanding of neural network concepts, ability to design and implement deep learning models, and skills in utilising these techniques to solve practical problems effectively.

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What’s included in this Deep Learning Course?

  • World-Class Training Sessions from Experienced Instructors 
  • Deep Learning Certificate
  • Digital Delegate Pack

 

Why choose us

Our Mississauga venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Mississauga is the sixth largest city in Canada. It is in the south of the province of Ontario in the region of peel. The city is estimated to have a population of around 715,000 people. The rapid growth of this city is attributed to its proximity to Toronto. It was originally built as suburb of Toronto. Education in Canada is mostly free and publicly funded. It is overseen by the federal, provincial and local governments, with the education within provincial jurisdiction and the curriculum overseen by the province. Education is compulsory in most provinces up to the age of 16. Mississauga is served by the Peel District School Board, which operates the secular English speaking public schools. There is also a school board that runs the local catholic schools and a board that runs the French speaking schools in the area, one for the secular French schools and one for the catholic French schools. There are a number of schools in the area that offer specialised programs. These include the French immersion schools such as Clarkson Secondary School and Streetsville Secondary School. There are three schools in the areas that off a Regional Arts Program and two that offer a specialist sci-tech program for students who are gifted in these areas. There is also two schools that offer support for those studying for the international baccalaureate plus numerous other programs. Canada’s higher has a very good reputation. However there is no formal ranking system and students will often choose colleges and universities bases on geographic convenience and the reputation of a particular course. Mississauga is home to one of the three campuses run by the University of Toronto. This university is ranked as the 34th best university in the world and is the second highest ranked Canadian university in the rankings. The campus was established in 1967 and is the universities second largest division. It is home to 12,000 students. They have 15 academic departments and pupils can choose from 148 programs to participate in from 89 areas of study. Students can study both undergraduate and graduate programs on this campus. This campus also has an excellent research environment that has helped the staff and researchers become internationally recognised for their work. The university includes Institutes for Management and Innovation, and Communication, Culture, Information and Technology.

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Address

Robert Speck 2
2 Robert Speck Parkway
Suite 750
Mississauga
Ontario
L4Z 1H8

T: +1 6474932992

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Deep Learning Course in Mississauga. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Deep Learning Course in Mississauga, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

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Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

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Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

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Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

What our customers are saying

Deep Learning Course in Mississauga FAQs

Deep Learning is a branch of Machine Learning using neural networks to imitate human brain functions, processing data in complex layers for tasks like image recognition and language processing.
Machine learning uses algorithms to learn from data. Deep learning, a subset, employs multi-layered neural networks for complex data tasks but needs significant labeled data and computational power.
This training unlocks powerful pattern recognition, enabling highly accurate models for image and speech recognition tasks. Its adaptability and continuous improvement drive innovation across industries like healthcare and finance.
To attend this Deep Learning Online Course, delegates should have a basic understanding of Python, Linear Algebra, and Probability.
This course is intended for individuals who wish to learn the basics of deep learning and may also wish to develop their own applications using deep learning techniques.
We are able to provide support via phone & email prior to attending, during and after the course.
In this Deep Learning Training Course, delegates will have 1-day intensive training with our experienced instructors, a digital delegate pack consisting of important notes related to this course, and a certificate after course completion.
The duration of this course spans 1 day.
This training contributes to career advancement and professional development by equipping individuals with advanced artificial intelligence and machine learning skills, opening up opportunities in high-demand fields such as data science and AI research.
This course teaches you about neural networks, deep learning algorithms, convolutional neural networks (CNNs), recurrent neural networks (RNNs), Feedforward Networks, and image recognition techniques.
Yes, we provide self-paced learning for this Deep Learning Online Course.
Yes, The Knowledge Academy provides corporate training for all the training courses including, this Deep Learning Online Course.
The training fees for Deep Learning Course certification in Mississauga starts from CAD3395
The Knowledge Academy is the Leading global training provider for Deep Learning Course.
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Why choose us

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Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

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Many delivery methods

Flexible delivery methods are available depending on your learning style.

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High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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Artificial Intelligence & Machine Learning Package

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