Delivered either online or on-site, these instructor-led live Neural Network training courses use interactive discussions and hands-on practice to show how to build Neural Networks using a variety of mostly open-source toolkits and libraries. You will also learn how to leverage the power of advanced hardware, such as GPUs, along with optimization techniques involving distributed computing and big data. Our curriculum is built on popular programming languages like Python, Java, and R, as well as powerful libraries including TensorFlow, Torch, Caffe, Theano, and more. The courses cover both the theoretical foundations and practical implementation of various neural network architectures, such as Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN).
Neural Network training is available as "online live training" or "onsite live training". Online live training (also known as "remote live training") is conducted via an interactive, remote desktop. Onsite live training can be delivered locally at your customer premises in Copenhagen or within NobleProg corporate training centers in Copenhagen.
You can also take bus 26 or 7A and get off around Vesterbros Torv; from there it is a short walk.
By bus
Useful nearby stops include:
Vesterbros Torv (Vesterbrogade) — about 1 minute from the area.
Frederiksberg Allé (Vesterbrogade) — nearby.
Trommesalen (Vesterbrogade) — nearby.
Bus 26 and 7A serve the Vesterbrogade corridor.
København, Copenhagen
NobleProg København, Bredgade 37, København K, denmark, 1260
Near Amalienborg Palace & Royal Theatre.
If you arrive by train
If you arrive at Copenhagen Central Station (København H):
Walk to København H Metro.
Take the M3 or M4 metro toward Kongens Nytorv.
Get off at Kongens Nytorv.
Walk north toward Nyhavn, then continue along Bredgade.
Bredgade 37 is about 500 m / 6 minutes' walk from Kongens Nytorv.
Another easy option
Marmorkirken (Marble Church) Metro Station is also very close to Bredgade 37. The nearby Bredgade area is about 2 minutes' walk from Marmorkirken station.
By bus
There are bus stops around Dronningens Tværgade / Bredgade, so you can also travel by bus and walk the final few minutes.
This instructor-led, live training in Copenhagen (online or onsite) is designed for advanced professionals aiming to explore state-of-the-art XAI techniques for deep learning models, focusing on the construction of interpretable AI systems.
By the conclusion of this training, participants will be able to:
Understand the complexities and challenges of explainability in deep learning.
Implement advanced XAI techniques for neural networks.
Interpret the decision-making processes of deep learning models.
Evaluate the trade-offs between performance metrics and transparency.
This hands-on training in Copenhagen enables programmers to construct AI models from the ground up using Python. Learners will gain proficiency in supervised learning, neural networks, and unsupervised techniques by utilizing scikit-learn and Apache Spark. The course emphasizes practical exercises in Jupyter notebooks to address real-world problems.
This instructor-led training in Copenhagen covers the theoretical foundations and practical implementation of Deep Reinforcement Learning using Python. Participants will build and train DRL agents with TensorFlow or PyTorch, applying key algorithms like DQN and PPO to solve complex real-world problems.
An introductory course in Copenhagen covering the basics of AI, from intelligent agents to machine learning. It prepares executives and architects to evaluate emerging AI trends, integrate practical solutions, and boost business agility through automated strategies.
Discover how Machine Learning and Deep Learning are transforming the automotive sector in Denmark. This Copenhagen programme covers essential concepts, from simple automation to autonomous decision-making, including neural networks and practical TensorFlow examples tailored for real-world applications.
This three-day program in Copenhagen delves into both the theoretical and practical aspects of Artificial Neural Networks, Machine Learning, and Deep Learning. Participants will examine various network architectures, learning mechanisms, and the underlying mathematical foundations, progressing from fundamental perceptrons to sophisticated deep learning techniques.
This instructor-led, live training in Copenhagen (available online or onsite) provides an introductory overview of pattern recognition and machine learning. It covers practical applications in statistics, computer science, signal processing, computer vision, data mining, and bioinformatics.
By the end of this training, participants will be able to:
Apply core statistical methods to pattern recognition.
Utilise key models, such as neural networks and kernel methods, for data analysis.
Implement advanced techniques for solving complex problems.
Improve prediction accuracy by combining different models.
This 35-hour course in Copenhagen explores the fundamentals of deep neural networks, covering CNNs, RNNs, and generative models such as GANs. Learners will gain practical, hands-on experience with Theano and TensorFlow, mastering how to build, train, and deploy production-grade deep learning models for real-world applications.
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Testimonials (3)
Getting people that never used AI some repetition in prompting and people that do use AI to consider different methods to using it.
Matthew Gay - Tarsus Pharmaceuticals
Course - Artificial Intelligence (AI) Overview
Working from first principles in a focused way, and moving to applying case studies within the same day
Maggie Webb - Department of Jobs, Regions, and Precincts
Course - Artificial Neural Networks, Machine Learning, Deep Thinking
That it was applying real company data.
Trainer had a very good approach by making trainees participate and compete
Jimena Esquivel - Zaklad Uslugowy Hakoman Andrzej Cybulski
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