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 Cambridge 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.

Cambridge is a university city located in Cambridgeshire in East Anglia, England. It is around 50 miles away from London and boasts a population of around 120,000 people. Cambridge has a centre for technological advancement known as the Silicon Fen which produces products to aid the software and bioscience industries. These start-up companies are usually sprung direct from the Cambridge University as over 40% of the workforce have a qualification in higher education, more than twice the amount of the national average. Cambridge is home to the Cambridge Biomedical Campus which is at the cutting edge of biomedical research.

The most famous aspect of Cambridge is its university which was founded in 1209 and is ranked to be amongst the five top universities in the world. The university was founded by scholars who left the University of Oxford. The two universities are ancient and some of the oldest English-speaking schools in existence and are jointly referred to as ‘Oxbridge’ as they are so similar. Currently, around 18,000 students are enrolled in the university.

The University of Cambridge is formed from 31 constituent colleges with over one hundred academic departments which are organised into six schools. The buildings for the university are spread throughout the town and most form some sort of historical or architectural importance. The colleges self-govern and are all integral and important parts of the university.

The university operates around eight art, culture and scientific centres, including the botanic garden and the Fitzwilliam Museum. The libraries of the University of Cambridge have around 15 million books. The main subjects taught at this university are arts and sciences but has a strong history in the sector of applied mathematics and mathematical physics. Until the mid-19th century, a pass in an examination in mathematics was once compulsory for all students.

Notable alumni from the University of Cambridge include Charles Darwin, Stephen Hawking, Isaac Newton and fifteen British Prime Ministers.

Popular searched areas in and around Cambridge include:-

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Address

Cambridge

T: 01344203999

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Deep Learning Course in Cambridge. 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 Cambridge, 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.

Experience the most sought-after learning style with The Knowledge Academy's Deep Learning Course in Cambridge. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Deep Learning Course in Cambridge sessions.

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Highly experienced trainers

Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience

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State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible

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Small class sizes

Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment

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Great value for money

Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

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 Cambridge 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 Cambridge starts from £1995
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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