Online or onsite, instructor-led live Keras training courses demonstrate through interactive hands-on practice how to use Keras for fast experimentation with deep neural networks.
Keras training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Luxembourg City onsite live Keras trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
Learn Keras in our training center in Luxembourg City. The financial center and the touristic sites are really close.
Easy access to The EU-district and the International Airport Findel-Luxembourg by public buses. Read more
Testimonials
★★★★★
★★★★★
The global overview of deep learning.
Bruno Charbonnier
Course: Advanced Deep Learning
Trainers theoretical knowledge and willingness to solve the problems with the participants after the training.
Grzegorz Mianowski
Course: Introduction to Deep Learning
I think that if training would be done in polish it would allow the trainer to share his knowledge more efficient.
Radek
Course: Introduction to Deep Learning
Doing exercises on real examples using Eras. Italy totally understood our expectations about this training.
Paul Kassis
Course: Advanced Deep Learning
Exercises after each topic were really helpful, despite there were too complicated at the end. In general, the presented material was very interesting and involving! Exercises with image recognition were great.
Dolby Poland Sp. z o.o.
Course: Introduction to Deep Learning
The exercises are sufficiently practical and do not need high knowledge in Python to be done.
Alexandre GIRARD
Course: Advanced Deep Learning
Topic. Very interesting!.
Piotr
Course: Introduction to Deep Learning
A lot of exercises, very good cooperation with the group.
Janusz Chrobot - ING Bank Śląski S.A.
Course: Introduction to Deep Learning
Machine Translated
Big and up-to-date knowledge of leading and practical application examples.
ING Bank Śląski S.A.
Course: Introduction to Deep Learning
Machine Translated
like it all
lisa xie
Course: Artificial Neural Networks, Machine Learning, Deep Thinking
This instructor-led, live training in Luxembourg City (online or onsite) is aimed at technical persons who wish to apply deep learning model to image recognition applications.
By the end of this training, participants will be able to:
- Install and configure Keras. - Quickly prototype deep learning models. - Implement a convolutional network. - Implement a recurrent network. - Execute a deep learning model on both a CPU and GPU.
This instructor-led, live training in Luxembourg City (online or onsite) is aimed at software engineers who wish to develop advanced deep learning neural-networks and model using Keras and Python.
By the end of this training, participants will be able to:
- Apply deep learning with supervised or unsupervised learning methods. - Develop, train, and implement concurrent neural networks and recurrent neural networks. - Use Keras and Python to build deep learning models to solve problems involving images, text, sound, and more.
This instructor-led, live training in Luxembourg City (online or onsite) is aimed at developers who wish to build a self-driving car using deep learning techniques.
By the end of this training, participants will be able to:
- Use computer vision techniques to identify lanes. - Use Keras to build and train convolutional neural networks. - Train a deep learning model to differentiate traffic signs. - Simulate a fully autonomous car.
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We are looking for a good mixture of IT and soft skills in Luxembourg!
As a NobleProg Trainer you will be responsible for:
delivering training and consultancy Worldwide
preparing training materials
creating new courses outlines
delivering consultancy
quality management
At the moment we are focusing on the following areas:
Statistic, Forecasting, Big Data Analysis, Data Mining, Evolution Alogrithm, Natural Language Processing, Machine Learning (recommender system, neural networks .etc...)
SOA, BPM, BPMN
Hibernate/Spring, Scala, Spark, jBPM, Drools
R, Python
Mobile Development (iOS, Android)
LAMP, Drupal, Mediawiki, Symfony, MEAN, jQuery
You need to have patience and ability to explain to non-technical people
To apply, please create your trainer-profile by going to the link below:
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