Whether delivered online or in person, our instructor-led live training courses on Neural Networks combine interactive discussions with hands-on practice to demonstrate how to build these systems using a wide range of primarily open-source toolkits and libraries. We also cover how to harness the power of advanced hardware, such as GPUs, alongside optimization techniques that involve distributed computing and big data. These courses are built around widely used programming languages like Python, Java, and R, and utilize robust libraries including TensorFlow, Torch, Caffe, and Theano. Our curriculum balances theoretical foundations with practical implementation, exploring various neural network architectures such as Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN).
Neural Network training is available through either "online live training" or "onsite live training" options. Online live training (also known as "remote live training") takes place via an interactive remote desktop environment. Onsite live training can be conducted locally at your customer premises in Bangkok or at NobleProg's corporate training centers in Bangkok.
NobleProg -- Your Local Training Provider
Empire Tower
1, South Sathorn Road,, Bangkok, thailand, 10120
Ways to get there
BTS Skytrain: Take the Silom Line and get off at BTS Chong Nonsi. The Empire is within walking distance; the building has access from the Sathorn/Naradhiwas area.
BTS Saint Louis:Saint Louis station is also nearby, around a 7-minute walk according to current location information.
BRT: Get off at BRT Sathorn. It's approximately a 2–4 minute walk to the building.
MRT:MRT Silom is another option, followed by a walk toward Sathorn.
Taxi/Grab: Give the driver: “The Empire, 1 South Sathorn Road, Sathon, Bangkok 10120.” The official building site confirms this address.
By car: The building can be accessed from Sathorn Road or Naradhiwas Rajanagarinda Road.
This live, instructor-led training in Bangkok (online or onsite) is tailored for advanced professionals aiming to explore state-of-the-art XAI techniques for deep learning, with a specific focus on creating interpretable AI systems.
By the end of the program, participants will have the ability to:
Grasp the difficulties associated with explainability in deep learning.
Deploy advanced XAI techniques for neural networks.
Decipher the decisions made by deep learning models.
Analyze the trade-offs between high performance and transparency.
This hands-on workshop in Bangkok guides programmers in constructing AI models from first principles using Python. Learners will gain proficiency in supervised learning, neural networks, and unsupervised techniques through the use of scikit-learn and Apache Spark. The training emphasizes practical Jupyter-based exercises aimed at solving real-world challenges.
This instructor-led course in Bangkok delves into the theoretical concepts and practical application of Deep Reinforcement Learning using Python. Learners will develop and train DRL agents using TensorFlow or PyTorch, applying essential algorithms like DQN and PPO to address complex, real-world challenges.
An introductory course on Bangkok that explores the core tenets of AI, ranging from intelligent agents to machine learning. It prepares executives and architects to evaluate emerging AI trends, adopt practical solutions, and enhance business agility by leveraging automated strategies.
Discover how Machine Learning and Deep Learning are revolutionizing the automotive landscape. This Bangkok course delves into fundamental concepts, progressing from simple automation to autonomous decision-making, and includes an examination of neural networks along with practical TensorFlow examples for real-world implementation.
This three-day program in Bangkok provides a comprehensive exploration of the theoretical and practical aspects of Artificial Neural Networks, Machine Learning, and Deep Learning. Participants will delve into network architectures, learning mechanisms, and underlying mathematical principles, progressing from foundational perceptrons to sophisticated deep learning techniques.
This live, instructor-led training in Bangkok (available online or onsite) provides an introductory overview of pattern recognition and machine learning. It explores practical applications within statistics, computer science, signal processing, computer vision, data mining, and bioinformatics.
By the end of this program, participants will be prepared to:
Apply core statistical methods to pattern recognition scenarios.
Utilize key models, including neural networks and kernel methods, for data analysis.
Implement advanced techniques to solve complex problems.
Enhance prediction accuracy by integrating various models.
This 35-hour program on Bangkok delves into the fundamentals of deep neural networks, covering 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 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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