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Course Outline
Foundations
- Can computers be said to think?
- Imperative versus declarative problem-solving approaches
- The distinction between Purpose and Bedan in artificial intelligence
- Defining artificial intelligence. The Turing test. Other determining factors
- The evolution of concepts regarding intelligent systems
- Key milestones and emerging development directions
Neural Networks
- Foundational concepts
- The concepts of neurons and neural networks
- A simplified model of the brain
- The potential of neurons
- The XOR problem and the nature of value distributions
- The polymorphic nature of the sigmoid function
- Other activation functions
- Constructing neural networks
- The concept of neuron connectivity
- Neural networks as node structures
- Network architecture
- Neurons
- Layers
- Scales
- Input and output data
- Scaling values to a range of 0 to 1
- Normalization
- Training neural networks
- Backpropagation
- Propagation steps
- Network training algorithms
- Scope of application
- Estimation techniques
- Challenges related to approximation capabilities
- Casestudies
- The XOR problem
- Lottery prediction?
- Equities
- OCR and image pattern recognition
- Additional applications
- Implementing a neural network model for predicting stock prices of listed companies
Issues for Discussion
- Combinatorial explosion and challenges in gaming
- Revisiting the Turing test
- Excessive confidence in computer capabilities
7 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 1600 € + VAT*
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Testimonials (3)
It felt like we were going through directly relevant information at a good pace (i.e. no filler material)
Maggie Webb - Department of Jobs, Regions, and Precincts
Course - Introduction to the use of neural networks
The interactive part, tailored to our specific needs.
Thomas Stocker
Course - Introduction to the use of neural networks
Ann created a great environment to ask questions and learn. We had a lot of fun and also learned a lot at the same time.
