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Mette Skøt CCO - Chief Commerciel Officer

+45 8188 1077
msk@mannaz.com

Rasmus Bay VP Consulting Nordic

+45 4022 2922
rba@mannaz.com

Bitten Døjholt VP Public

+45 5139 6209
bdo@mannaz.com

Line Thatt Jensen Senior Consultant

+45 5139 6178
ltj@mannaz.com

Thomas Peter Rønholt Client Director

+45 5139 6257
tpr@mannaz.com

Henrik Bjerregaard Nielsen Client Director

+45 5139 6259
hbn@mannaz.com

Berit Kristine Bøggild Client Director

+45 2295 0151
bkb@mannaz.com

Anette Forsner-Hansen Client Director

+45 2087 1199
afh@mannaz.com

Anne Friland Client Director

+45 4517 6274
afr@mannaz.com

Simone Toftegaard Digital Consultant

+45 5139 6170
sto@mannaz.com

Emil Lindeløv Vestergaard Chefkonsulent, cand.psych.

+45 5139 6033
elv@mannaz.com

Lars Nellemann Manager, Ph.d.

+45 5139 6043
lne@mannaz.com

Marianne Bruun Okholm Manager

+45 5139 6048
mok@mannaz.com

Morten Flørnæss Kerrn-Jespersen Client Director

+45 5139 6052
mfk@mannaz.com

Thomas Boas Olsen Senior Consultant

+45 5139 6055
tbo@mannaz.com

Dorte Spiegelhauer Client Director

+45 5139 6062
dsp@mannaz.com

Berit Urup Hankelbjerg Senior Consultant

+45 5139 6130
buh@mannaz.com

Lars Østerby Client Director

+45 5139 6221
los@mannaz.com

Bjarke Østergaard Client Director

+45 4166 8864
bos@mannaz.com

Martin Bo Nielsen Senior Consultant

+45 8192 5343
mni@mannaz.com

Linda Vestergaard Senior Consultant

+45 5139 6207
lve@mannaz.com

Thomas Overbeck Gredal Consultant

28180692
tog@mannaz.com

Nanna Gry Mahler Tolborg Senior Consultant

+45 6178 2404
nto@mannaz.com

Betina Holst Nørgaard Client Director

+45 3093 6170
bno@mannaz.com

Cecilia Fagerberg Wästfelt Country Manager


cfw@mannaz.com

Joakim Eriksson Client Director

+46 735 286 071
jer@mannaz.com

Magnus Ramdén Senior Consultant

+46 735 01 63 21
mra@mannaz.com

Anna Rosdahl Senior Consultant

+46 708 23 84 41
aro@mannaz.com

Gertrud Elisabet Bohlin Senior Consultant

+46 705 66 95 26
geb@mannaz.com

Stuart Turnbull Country Manager

+44 7789 546 100
stu@mannaz.com

Nathan Hobbs Director, Client Solutions

+44 796 288 1445
nho@mannaz.com

Paul Frederick Blackhurst Client Director

+44 759 527 5952
pbl@mannaz.com

Stuart Schofield Client Director

+44 7990 036110
ssc@mannaz.com

Christine Dandy Client Director

+44 783 402 2486
cda@mannaz.com

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Kontakt: René Fabricius Weichel

+45 4517 6140
rfw@mannaz.com

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Kontakt: Gitte Madsen

+45 4517 6226
gma@mannaz.com

Vil du høre mere om vores konsulentydelser? Kontakt en af vores konsulenter
Mette Skøt

CCO - Chief Commerciel Officer +45 8188 1077
msk@mannaz.com

Rasmus Bay

VP Consulting Nordic +45 4022 2922
rba@mannaz.com

Bitten Døjholt

VP Public +45 5139 6209
bdo@mannaz.com

Line Thatt Jensen

Senior Consultant +45 5139 6178
ltj@mannaz.com

Thomas Peter Rønholt

Client Director +45 5139 6257
tpr@mannaz.com

Henrik Bjerregaard Nielsen

Client Director +45 5139 6259
hbn@mannaz.com

Berit Kristine Bøggild

Client Director +45 2295 0151
bkb@mannaz.com

Anette Forsner-Hansen

Client Director +45 2087 1199
afh@mannaz.com

Anne Friland

Client Director +45 4517 6274
afr@mannaz.com

Simone Toftegaard

Digital Consultant +45 5139 6170
sto@mannaz.com

Emil Lindeløv Vestergaard

Chefkonsulent, cand.psych. +45 5139 6033
elv@mannaz.com

Lars Nellemann

Manager, Ph.d. +45 5139 6043
lne@mannaz.com

Marianne Bruun Okholm

Manager +45 5139 6048
mok@mannaz.com

Morten Flørnæss Kerrn-Jespersen

Client Director +45 5139 6052
mfk@mannaz.com

Thomas Boas Olsen

Senior Consultant +45 5139 6055
tbo@mannaz.com

Dorte Spiegelhauer

Client Director +45 5139 6062
dsp@mannaz.com

Berit Urup Hankelbjerg

Senior Consultant +45 5139 6130
buh@mannaz.com

Lars Østerby

Client Director +45 5139 6221
los@mannaz.com

Bjarke Østergaard

Client Director +45 4166 8864
bos@mannaz.com

Martin Bo Nielsen

Senior Consultant +45 8192 5343
mni@mannaz.com

Linda Vestergaard

Senior Consultant +45 5139 6207
lve@mannaz.com

Thomas Overbeck Gredal

Consultant 28180692
tog@mannaz.com

Nanna Gry Mahler Tolborg

Senior Consultant +45 6178 2404
nto@mannaz.com

Betina Holst Nørgaard

Client Director +45 3093 6170
bno@mannaz.com

Cecilia Fagerberg Wästfelt

Country Manager
cfw@mannaz.com

Joakim Eriksson

Client Director +46 735 286 071
jer@mannaz.com

Magnus Ramdén

Senior Consultant +46 735 01 63 21
mra@mannaz.com

Anna Rosdahl

Senior Consultant +46 708 23 84 41
aro@mannaz.com

Gertrud Elisabet Bohlin

Senior Consultant +46 705 66 95 26
geb@mannaz.com

Stuart Turnbull

Country Manager +44 7789 546 100
stu@mannaz.com

Nathan Hobbs

Director, Client Solutions +44 796 288 1445
nho@mannaz.com

Paul Frederick Blackhurst

Client Director +44 759 527 5952
pbl@mannaz.com

Stuart Schofield

Client Director +44 7990 036110
ssc@mannaz.com

Christine Dandy

Client Director +44 783 402 2486
cda@mannaz.com

Deep Learning for visual recognition

Understand the details of deep learning for visual recognition

Del siden Print

Understanding Deep Learning

The deep learning revolution has given us self-driving cars, Google translate, Siri and much more.

Within the area of deep learning, visual recognition (or computer vision) is the most established field and additionally the best way to learn more about deep learning.

Throughout this two-day course, you will improve your skills by learning how to implement, train and debug your own neutral networks. You will also gain a comprehensive understanding of neutral network architectures and insight into cutting-edge research within deep learning.

 

Deep Learning for visual recognition

Understand the details of deep learning for visual recognition

Del siden Print
2 dages kursus
1 modul,
1 kursussteder
11.900 kr ekskl. moms
Vælg dato og lokation
1. okt - 2. okt 2020 Tivoli Hotel, København V
Kurset kan holdes hos jer – læs mere

Exercises

The hands-on programming exercises on the course involves setting up computer vision problems, such as:

  • Image classification
  • Applying learning algorithms
  • Practical engineering tricks for training as well as fine-tuning the networks

We will discuss how to apply deep learning for other data types, such as text, speech, and tabular data.

 

Who can participate?

The course is aimed at software developers or engineers, who wants to expand their toolbox with deep learning.

Participants will be reading and writing code in Python throughout the course. It is not necessary to be familiar with Python, but basic  programming skills are required.

Participants does not need any prior knowledge regarding machine learning and only basic mathematics are required for the course.

Benefits

Benefits for you:

  • Identifying and describing visual recognition tasks that can be solved using deep learning
  • Describing and comparing different neural networks architectures
  • Explaining and relating techniques for training neural networks
  • Applying deep learning to standard visual recognition tasks and assessing the results
  • Defining and scoping your own deep learning projects

 

Benefits for your company:

  • A competitive advantage by having employees with deep learning competences
  • Improved ability to collect and exploit data in the future
  • A higher chance of retaining employees with an interest in AI
Technology as a competitive edge

Figuring out how to leverage the changes of technology it in your context

Read the article
Feel free to contact me for personal assistance, if you have any questions or doubts
René Fabricius Weichel
+45 4517 6140
rfw@mannaz.com
Call me
Tid & sted
Varighed 2 dage
Pris 11.900 kr ekskl. moms
Deep Learning for visual recognition
Dato 1. okt - 2. okt 2020
Modul 1 Modul
Overnatning Nej
Ledighed Ledige pladser
Pris 11.900 kr ekskl. moms
  Tid og sted    Tilmeld

Practical information

The course covers deep learning theory, but primarily focuses on the practical use of the techniques. You will have hands-on training under expert instruction and the opportunity to ask any questions you might have under the entire duration of the course. Using the knowledge and implementing it in a practical context will allow you to continue to use deep learning in your daily work.

Day 1

09:00-16:00

  • Machine learning fundamentals
  • Logistic and linear regression
  • Simple neural networks
  • Training neural networks (this will include topics such as optimization, transfer learning, backpropagation, and regularization techniques to avoid overfitting)

 

Day 2

09:00-16:00

  • Convolutional neural networks
  • Advanced neural network architectures (this will include topics such as Recurrent Neural Networks, ResNet, and Generative Adversarial Networks)

The programme

Before the course

You should either have or be willing to create a Google (i.e., gmail) account, preferably prior to attending the course.

To benefit as much as possible from the course, make sure to brush up on the following areas in advance:

  • basic linear algebra (such as inner products and matrix/vector multiplication)
  • basic calculus (such as differentiation and especially the chain rule)
  • simple probability theory (such as probability distributions)

During the course

You are expected to bring your own laptop.

There are no hardware requirements (like GPU), and there is no need for you to install any special software. All you will need is an internet browser (ideally Google Chrome).

After the course

After the course there will be no hand-ins, but you are more than welcome to consult with the instructor in case you need any help setting up your own projects.

Instructor

Henrik Pedersen

The instructor on this course is Henrik Pedersen (PhD), Head of Visual Computing Lab at the Alexandra Institute. Henrik is lecturer at the Department of Computer Science at Aarhus University (AU), where he teaches the full-semester course, “Deep Learning for Visual Recognition”. Throughout his career, Henrik has been in various academic roles, both covering research as well as teaching in computer vision and deep learning. With years of experience, he is a skilled educator and has played a key role in creating the vibrant deep learning community at both the Alexandra Institute and AU’s computer science department.

This course is powered by IDA & Mannaz

Mannaz works in close collaboration with IDA, The Danish Society of Engineers.

When you sign up for this course, Mannaz handles your registration, while IDA manages the course execution.