Machine Learning : Deep Learning for Computer Vision (5 days)

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This course is run in German as well: Deep Learning for Computer Vision (5 Tage)

"People worry that computers will get too smart and take over the world, but the real problem is that they're too stupid and they've already taken over the world." (Pedro Domingos)

Pedro Domingos is Professor at University of Washington. He is a researcher in machine learning and known for markov logic network enabling uncertain inference.

(C) Bernd Klein

Python can do many useful things right out of the box, and provides all the basic tools and features that programmers have come to expect of a major programming language.

"Python is a truly wonderful language. When somebody comes up with a good idea it takes about 1 minute and five lines to program something that almost does what you want. Then it takes only an hour to extend the script to 300 lines, after which it still does almost what you want." Jack Jansen (ported Python to Mac, MacPython)

"Big Data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone..." Dan Ariely on Twitter, Professor of Psychology and Behavioral Economics

All our courses are made-to-measure your expectations and are conveniently scheduled and delivered at various locations: Lake Constance or Berlin in Germany, Toronto in Canada. London in England. On-site training at the location of your choice is no problem. We offer in-house training courses all over Canada and Europe, especially in Germany, Switzerland, Austria, Luxembourg, Italy, the Netherlands and England and the UK. Covering cities like Munich, Stuttgart, Frankfurt, Saarbrücken, Zürich, Bern, Basel, Luzern, Bregenz, Strasbourg, Paris, Rhome, Amsterdam, London, and Toronto in Canada.

Deep Learning for Computer Vision (5 days)

This course has been held as an online training course since March 2020. Further Information!

Dive into the captivating realm of "Deep Learning for Computer Vision"! Uncover how machines decipher images, opening doors to self-driving cars, facial recognition, and more. Whether you're an aspiring AI engineer or simply curious, this course offers a unique chance to master image analysis.
Join us to explore convolutional neural networks, image classification, and object detection through hands-on projects. No prior experience needed; we'll guide you from basics to advanced techniques. Shape the future with us—where pixels create endless possibilities. Enroll now and let's bring pixels to life!
This seminar can be run as an in-house training course as well, e.g. in England, France, Switzerland, Austria, Italy, Netherland, Luxembourg, Belgium, Canada or Germany.

Target Group:
This course covers deep learning with a focus on Computer Vision

Our other ML-Courses:

Content:

This course covers an introduction to deep learning and applies it to the field of computer vision. Deep learning is a subset of machine learning which utilizes artificial neural networks to recognize complex patterns in data. These networks learn hierarchical features, resulting in powerful models. These models excel in tasks like image recognition and natural language processing.
In this course we will build a neural network from scratch to gain understanding of its internal working. We will look at different architectures, for example convolutional neural networks and more. We will have a look at how to regularize our data and avoid overfitting. On top of this we will use Keras which is build on top of Tensorflow to experiment with more complex network to solve more challenging problems.

Introduction to the fundamentals

Numpy

Plotting with matplotlib and seaborn

Short Introduction to machine learning

Developing our first neural network from scratch

Detecting numbers and characters

Challenges of deep learning

Bias-Variance Trade-off
Over- and under-fitting

Introduction to Tensorflow and Keras

Convolutional networks

Advanced example

The topics are more or less the same as in the 3-days variant of this course. The extra two days gives us time to close some gaps in the Python, Numpy and Pandas knowledge of the participants and also additional exercises.

Dates:

From Mon, 27th Jan, 2025 until Fri, 31st Jan, 2025 (5 days)
From Mon, 10th Mar, 2025 until Fri, 14th Mar, 2025 (5 days)
From Mon, 7th Apr, 2025 until Fri, 11th Apr, 2025 (5 days)
From Mon, 2nd Jun, 2025 until Fri, 6th Jun, 2025 (5 days)
From Mon, 28th Jul, 2025 until Fri, 1st Aug, 2025 (5 days)
From Mon, 8th Sep, 2025 until Fri, 12th Sep, 2025 (5 days)
From Mon, 20th Oct, 2025 until Fri, 24th Oct, 2025 (5 days)
From Mon, 1st Dec, 2025 until Fri, 5th Dec, 2025 (5 days)

Duration of the course:
5 days

The fees for this ML course per day:

ONLINE:: €419 per day (exclusive of VAT)
Toronto, Canada:: $588 per day (exclusive of HST)
Lake Constance, Hemmenhofen, Germany:: €419 per day (exclusive of VAT)
plus € 139 for full board and lodging in 4 star hotel
Hamburg, Munich, Frankfurt, Berlin (Germany):: €447 per day (exclusive of VAT)
Zurich and Geneva (Switzerland):: £447 per day (exclusive of VAT)

Attention:

The price comprises:
Comprehensive course material