Whether you choose online or onsite delivery, our instructor-led live Neural Network courses offer a hands-on, interactive experience. We guide you through constructing Neural Networks using a range of largely open-source toolkits and libraries. Additionally, we demonstrate how to leverage the power of advanced hardware, such as GPUs, and apply optimization techniques that utilize distributed computing and big data. Our curriculum is built around widely adopted programming languages like Python, Java, and R, alongside robust libraries including TensorFlow, Torch, Caffe, and Theano. These courses comprehensively cover both the theoretical underpinnings and practical implementation of various architectures, including Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN).
Neural Network training is offered as either "online live training" or "onsite live training". The online option, also known as "remote live training," takes place through an interactive, remote desktop session. For onsite live training, we can deliver sessions at your premises in Durban or at NobleProg’s corporate training centers in Durban.
NobleProg – Your Local Training Partner
Garden Court South Beach
Durban, South Africa
Way to get there
From Durban city centre: follow the beachfront/Marine Parade south toward South Beach.
By car/taxi: give the driver the address 73 O.R. Tambo Parade, South Beach, Durban 4001.
From King Shaka International Airport: the hotel is roughly 30 km ;from the airport.
Delivered as instructor-led live training in Durban (available online or on-site), this programme is designed for advanced professionals keen to explore state-of-the-art XAI techniques for deep learning models, with a strong emphasis on building interpretable AI systems.
Upon completion of this training, participants will be able to:
Grasp the challenges associated with 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.
This practical training in Durban empowers programmers to construct AI models using Python. You will gain proficiency in supervised learning, neural networks, and unsupervised techniques through the use of scikit-learn and Apache Spark. The focus is on hands-on exercises in Jupyter notebooks designed to solve real-world problems.
This instructor-led training in Durban 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.
A foundational training in Durban that delves into AI fundamentals, ranging from intelligent agents to machine learning. It empowers executives and architects to evaluate emerging AI trends, integrate practical solutions, and boost business agility through automated strategies.
Investigate how Machine Learning and Deep Learning are reshaping the automotive industry. This Durban programme outlines key concepts spanning from basic automation to autonomous decision-making, featuring neural networks and practical TensorFlow examples for real-world implementation.
This three-day programme focused on Durban delves into both the theoretical underpinnings and practical applications of Artificial Neural Networks, Machine Learning, and Deep Learning. Participants will examine various network architectures, learning mechanisms, and mathematical foundations, progressing from fundamental perceptrons to sophisticated deep learning techniques.
This instructor-led, live training in Durban (online or onsite) provides an introduction into the field of pattern recognition and machine learning. It touches on 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 course in Durban covers deep neural network fundamentals, including CNNs, RNNs, and generative models like GANs. Participants gain hands-on 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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