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Course Outline
Foundations
- Can computers exhibit thought?
- Comparing imperative and declarative approaches to problem-solving
- The objective behind Bedan's work on artificial intelligence
- Defining artificial intelligence: the Turing test and other key determinants
- The evolution of the concept of intelligent systems
- Key milestones and strategic development directions
Neural Networks
- Core fundamentals
- Understanding neurons and neural network structures
- Simplified models of brain function
- The capabilities of individual neurons
- The XOR problem and value distribution characteristics
- The polymorphic nature of sigmoidal functions
- Alternative activation functions
- Architecting neural networks
- Neural connectivity concepts
- Neural networks viewed as node-based systems
- Network construction principles
- Neuron definitions
- Layer structures
- Scaling mechanisms
- Handling input and output data
- The 0 to 1 range
- Data normalization techniques
- Training neural networks
- Backpropagation mechanisms
- Propagation steps
- Algorithms for network training
- Scope of application
- Estimation methods
- Challenges in approximation possibilities
- Practical examples
- The XOR problem
- Lotto predictions?
- Equity markets
- OCR and image pattern recognition
- Additional applications
- Implementing a neural network model to forecast stock prices of listed companies
Current Challenges
- Combinatorial explosion and gaming-related issues
- 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 1300 € + 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.