cross

BIGGEST CHRISTMAS SALE !

red-starWHO WILL BE FUNDING THE COURSE?

close

close

Thank you for your enquiry!

One of our training experts will be in touch shortly to go over your training requirements.

close

close

Press esc to close

close close

Back to course information

Thank you for your enquiry!

One of our training experts will be in touch shortly to go overy your training requirements.

close close

Thank you for your enquiry!

One of our training experts will be in touch shortly to go over your training requirements.

Course Information

Neural Networks with Deep Learning Training Course Outline

Module 1: Introduction to Neural Networks

  • Introduction to Neural Networks
  • Supervised Learning with Neural Networks

Module 2: Neural Networks Fundamentals

  • Binary Classification
  • Logistic Regression
  • Gradient Descent and Derivatives
  • Computational Graph
  • Vectorisation
  • Introduction to Python
  • Jupyter/IPython Notebooks

Module 3: Shallow Neural Networks

  • Representation of a Neural Networks
  • Computing the Output of a Neural Network
  • Vectorised Implementation
    • Feed Forward
    • Back Propagation
  • Hidden Layer
  • Activation Functions
  • Gradient Descent for Neural Networks

Module 4: Deep Neural Networks

  • Deep L-Layer Neural Network
  • Forward Propagation
  • Computational Graphs
  • Backward Propagation
  • Neural Networks Training
  • Deep Representations
  • Building Blocks
  • Difference Between Parameters and Hyperparameters

Show moredowndown

Who should attend this Neural Networks with Deep Learning Training Course?

The Neural Networks with Deep Learning Course will provide you a deep understanding of Neural Network Architectures and how they can be leveraged in various applications and industries through Deep Learning techniques. The following are some professionals who can greatly benefit from this course:

  • Data Scientists
  • Machine Learning Engineers
  • Software Developers
  • Data Engineers
  • DevOps Engineers
  • UI/UX Designers
  • Regulatory and Compliance Professionals

Prerequisites of the Neural Networks with Deep Learning Training Course

There are no formal prerequisites for this Neural Networks with Deep Learning Training, but a basic understanding of the Python programming language would be helpful.

Neural Networks with Deep Learning Training Course Overview

Neural Networks are a set of algorithms designed to identify patterns. These are developed to imitate the human brain. Neural networks translate sensory data through labelling or clustering raw input and machine perception. These networks identify numerical patterns that are stored in vectors. All the real-world data, including text, images, or sound, must be translated into these numerical patterns. Neural networks can be thought of as a clustering and classification layer on top of the data stored and managed.

The Knowledge Academy’s Neural Networks with Deep Learning Training course will provide delegates with an understanding of deep learning and neural networks. Delegates will be familiarised with basic concepts of neural networks such as binary classification, logistic regression, derivatives, and vectorisation.

During this 1-day training course, delegates will be introduced to Python and Jupyter/IPython notebooks. Delegates will learn about shallow neural networks, including vectorised implementation, activation functions, and backpropagation intuition. In addition, delegates will also gain knowledge on the concepts of deep neural networks involving deep L-layer neural network, deep representations, and forward and backward propagation.

Show moredowndown

What’s included in this Neural Networks with Deep Learning Training Course?

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

Show moredowndown

Why choose us

Ways to take this course

Our easy to use Virtual platform allows you to sit the course from home with a live instructor. You will follow the same schedule as the classroom course, and will be able to interact with the trainer and other delegates.

Our fully interactive online training platform is compatible across all devices and can be accessed from anywhere, at any time. All our online courses come with a standard 90 days access that can be extended upon request. Our expert trainers are constantly on hand to help you with any questions which may arise.

This is our most popular style of learning. We run courses in 1200 locations, across 200 countries in one of our hand-picked training venues, providing the all important ‘human touch’ which may be missed in other learning styles.

best_trainers

Highly experienced trainers

All our trainers are highly qualified, have 10+ years of real-world experience and will provide you with an engaging learning experience.

venues

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

small_classes

Small class sizes

We limit our class sizes to promote better discussion and ensuring everyone has a personalized experience

value_for_money

Great value for money

Get more bang for your buck! If you find your chosen course cheaper elsewhere, we’ll match it!

This is the same great training as our classroom learning but carried out at your own business premises. This is the perfect option for larger scale training requirements and means less time away from the office.

tailored_learning_experience

Tailored learning experience

Our courses can be adapted to meet your individual project or business requirements regardless of scope.

budget

Maximise your training budget

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

team_building

Team building opportunity

This gives your team a great opportunity to come together, bond, and discuss, which you may not get in a standard classroom setting.

monitor_progress

Monitor employees progress

Keep track of your employees’ progression and performance in your own workspace.

What our customers are saying

Neural Networks with Deep Learning Training FAQs

Please arrive at the venue at 8:45am.
There are no prerequisites for this course. However, some experience with the Python programming language would be beneficial.
Anyone who wants to learn about neural networks and deep learning can attend this course.
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 1 day.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
The price for Neural Networks with Deep Learning Training certification in Albania starts from €2295
The Knowledge Academy is the Leading global training provider for Neural Networks with Deep Learning Training.

Why choose us

icon

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.

icon

Many delivery methods

Flexible delivery methods are available depending on your learning style.

icon

High quality resources

Resources are included for a comprehensive learning experience.

barclays Logo
deloitte Logo
Thames Water Logo

"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

santander logo
bmw Logo
Google Logo

Looking for more information on Artificial Intelligence & Machine Learning?

backBack to course information

Get a custom course package

We may not have any package deals available including this course. If you enquire or give us a call on +44 1344 203 999 and speak to our training experts, we should be able to help you with your requirements.