Available online or on-site, our live instructor-led Neural Network training programs feature interactive discussions and hands-on exercises to demonstrate how to build Neural Networks using primarily open-source toolkits and libraries. The curriculum also explores leveraging advanced hardware, such as GPUs, alongside optimization strategies that utilize distributed computing and big data. These courses are grounded in widely used programming languages like Python, Java, and R, incorporating robust libraries including TensorFlow, Torch, Caffe, and Theano. We cover both the theoretical foundations and practical implementation of various architectures, including Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN).
Our Neural Network training is offered as either "online live training" or "onsite live training." Online live sessions, also referred to as remote live training, are conducted via an interactive remote desktop. Onsite live training can be delivered directly at your facility in Natal or at NobleProg’s corporate training centers in Natal.
NobleProg -- Your Local Training Provider
Natal - Hub Plural
Rio Grande do Norte Natal, Natal, brazil, 59016-000
Unleash your creativity in the heart of Alecrim with flexible working at Hub Plural Natal. In this vibrant neighborhood southwest of downtown Natal, you're surrounded by a wide variety of creative businesses. It's a great place to build your network.
This instructor-led, live training in Natal (online or onsite) is intended for advanced professionals seeking to explore state-of-the-art 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.
This hands-on training in Natal enables programmers to construct AI models from the ground up using Python. Participants will gain expertise in supervised learning, neural networks, and unsupervised techniques by leveraging scikit-learn and Apache Spark. The curriculum emphasizes practical Jupyter exercises aimed at solving real-world problems.
This instructor-led training on Natal delves into the theoretical foundations and practical implementation of Deep Reinforcement Learning using Python. Participants will learn to construct and train DRL agents with TensorFlow or PyTorch, leveraging key algorithms like DQN and PPO to address complex, real-world challenges.
A foundational course on Natal that delves into the basics of AI, ranging from intelligent agents to machine learning. It empowers executives and architects to evaluate new AI trends, implement practical solutions, and boost business agility through strategic automation.
Explore how Machine Learning and Deep Learning are reshaping the automotive sector. This Natal course delves into core concepts, spanning from simple automation to autonomous decision-making, while covering neural networks and providing practical TensorFlow examples for real-world implementation.
This three-day program in Natal 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 bases, progressing from foundational concepts like basic perceptrons to sophisticated deep learning methodologies.
This instructor-led, live training in Natal (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.
Upon completion of this training, participants will be able to:
Apply fundamental statistical methods to pattern recognition.
Utilize essential models, such as neural networks and kernel methods, for data analysis.
Implement advanced techniques to solve complex problems.
Enhance prediction accuracy by integrating various models.
This comprehensive 35-hour course on Natal delves into 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, acquiring the skills necessary to build, train, and deploy production-ready deep learning models 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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