Obuke neuronskih mreža koje vode treneri, dostupne onlajn ili na lokaciji, demonstriraju kroz interaktivnu diskusiju i praktične vežbe kako da se izgrade neuronske mreže koristeći brojne pretežno open-source alate i biblioteke, kao i kako da se iskoristi potencijal naprednog hardvera (GPU) i tehnike optimizacije koje uključuju distribuirano računstvo i big data. Naše kursevi iz oblasti neuronskih mreža zasnivaju se na popularnim programskim jezicima kao što su Python, Java i R, kao i na snažnim bibliotekama, uključujući TensorFlow, Torch, Caffe, Theano i druge. Naši kursevi pokrivaju kako teoriju, tako i implementaciju koristeći razne implementacije neuronskih mreža, poput dubokih neuronskih mreža (DNN), konvolucioni neuronskih mreža (CNN) i rekurentnih neuronskih mreža (RNN).
Obuka iz neuronskih mreža dostupna je kao „online live obuka“ ili „onlajn live obuka na lokaciji“. Online live obuka (takođe poznata kao „remote live obuka“) sprovodi se putem interaktivnog udaljenog radnog okruženja. Onsite live obuka može se sprovoditi lokalno na prostorijama klijenta u Belgrade ili u korporativnim centrima za obuku NobleProg u Belgrade.
NobleProg – Vaš lokalni provajder obuka
Green Heart Complex
Bulevar Milutina Milankovića 11b, Belgrade 11070, Belgrade, Serbia
Strategically located at Bulevar Milutina Milankovića 11b in Belgrade, Serbia, the Green Heart Complex stands as a prominent landmark in one of the country's most dynamic areas. This prestigious address places the complex within close proximity to key government buildings, cultural institutions, embassies, and major shopping centers, making it an ideal location for business and administrative activities.
Its prime position on Bulevar Milutina Milankovića offers excellent accessibility and visibility, ensuring convenient connections to the heart of Belgrade's commercial and residential districts. The complex itself serves as a vital hub, providing modern facilities and services to support a diverse range of professional and commercial needs.
From this strategic base, occupants and visitors benefit from proximity to Belgrade's vibrant urban life, including dining, entertainment, and transportation options. The Green Heart Complex represents a significant asset in the city's ongoing development, contributing to the efficiency and functionality of Belgrade's central business district.
Delivered as an instructor-led, live training in Belgrade (online or onsite), this course is designed for advanced professionals who wish to explore cutting-edge XAI techniques for deep learning models, focusing on the development of interpretable AI systems.
By the end of this training, participants will be able to:
Understand the challenges of explainability in deep learning.
Implement advanced XAI techniques for neural networks.
Interpret decisions made by deep learning models.
Evaluate the trade-offs between performance and transparency.
Ova praktična obuka Belgrade pomaže programerima da izgrade modele veštačke inteligencije od nule koristeći Python. Ovladati ćete nadzorom učenja, neuronalim mrežama i tehnikama bez nadzora uz upotrebu scikit-learn i Apache Spark biblioteka. Fokus je stavljen na praktične vežbe u Jupyter beležnicama radi rešavanja stvarnih problema.
Ova usmerena obuka u Belgrade pokriva teorijske osnove i praktičnu implementaciju dubokog jачeg učenja koristeći Python. Učesnici će izgraditi i obučavati DRL agente koristeći TensorFlow ili PyTorch, primenjujući ključne algoritme kao što su DQN i PPO za rešavanje kompleksnih stvarnih problema.
This introductory training on Belgrade provides a comprehensive exploration of AI fundamentals, covering the spectrum from intelligent agents to machine learning. It empowers executives and architects to evaluate emerging AI trends, integrate practical solutions, and drive business agility through automated strategies.
Discover how Machine Learning and Deep Learning are reshaping the automotive landscape. This Belgrade course delves into fundamental concepts spanning simple automation to autonomous decision-making, featuring neural networks and practical TensorFlow examples tailored for real-world use cases.
This three-day program in Belgrade delves into both the theoretical and practical aspects of Artificial Neural Networks, Machine Learning, and Deep Learning. Participants will examine network architectures, learning mechanisms, and the underlying mathematical principles, progressing from fundamental perceptrons to sophisticated deep learning techniques.
This instructor-led, live training in Belgrade (online or onsite) offers an introduction to the fields 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.
Use key models like neural networks and kernel methods for data analysis.
Implement advanced techniques for complex problem-solving.
Improve prediction accuracy by combining different models.
This 35-hour curriculum in Belgrade delves into the fundamentals of deep neural networks, encompassing CNNs, RNNs, and generative models such as GANs. Participants will gain practical experience with Theano and TensorFlow, learning to build, train, and deploy production-grade deep learning models suited for real-world scenarios.
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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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