Genetic Algorithms & Neural Networks: Java, AI
What you'll learn
- Genetic Algorithms: Master optimization with evolutionary computation
- Genetic Algorithms: Improve and enhance the genetic algorithm
- Artificial Intelligence: Explore cutting-edge AI techniques for solving complex problems.
- Neuro-Evolution: Dive into evolving neural networks for adaptive solutions.
- Neural Networks: Utilize machine learning for advanced pattern recognition.
Requirements
- Basic programming - Java, but experience in any programming language is beneficial for this course
Description
Course Overview
Explore the cutting-edge of artificial intelligence with our detailed course on Genetic Algorithms and Neural Networks. This course is structured to take you from a theoretical understanding of complex algorithms to direct, hands-on application through a series of engaging activities and real-world problems. Perfect for those looking to deepen their AI expertise, the course covers everything from basic structures and functions to advanced applications in games and pattern recognition.
Learning Objectives
By the end of this course, students will:
Understand the principles and components of Genetic Algorithms, including selection, crossover, and mutation processes.
Gain practical experience with Genetic Algorithms by solving problems like the Traveling Salesman and function optimization.
Learn the basics of Neural Networks and apply them to real-world tasks such as digit recognition.
Develop an understanding of neuro-evolution techniques by creating a self-learning "Snake Game".
Critically analyze the advantages and limitations of these AI techniques and their applications.
Target Audience
This course is designed for:
Students and professionals interested in advanced AI technologies.
Data scientists and engineers looking to add sophisticated algorithmic methods to their toolkits.
Course Modules
Theory
Genetic Algorithm Overview: Introduction and history.
Fundamentals: Basic structure, parent selection, crossover, mutation, and survivor selection.
Evaluation: Advantages and disadvantages of Genetic Algorithms.
Practical Activities with Genetic Algorithms
"Hello World" Introduction: Basic implementation.
Traveling Salesman Problem: Optimization of a classic computational problem.
Function Optimization: Maximizing or minimizing function values.
Sudoku Solver: Applying Genetic Algorithms to solve Sudoku puzzles efficiently.
Neural Networks Overview
Basics of Neural Network Architecture: Understanding layers, neurons, and activation functions.
Learning and Adaptation: How networks learn and evolve over time.
Practical Activities with Neural Networks
Digit Recognition: Using Neural Networks to recognize and interpret handwritten digits.
Advanced Application: Neuro-evolution in Games
Snake Game: Developing an AI that learns to play Snake using both Genetic Algorithms and Neural Networks.
Dive into the world of Genetic Algorithms and Neural Networks with our structured, practical approach that balances theory with extensive hands-on experience. Enroll today to start transforming theoretical knowledge into impactful solutions and innovations in the field of artificial intelligence.
Who this course is for:
- Students
- AI enthusiasts
Instructor
- 4.5 Instructor Rating
- 762 Reviews
- 8,830 Students
- 2 Courses
Hello! My name is Catalin Baba, and I am passionate about technology, programming, and sharing knowledge with others. I hold a degree in Electrical Engineering from the prestigious University Politehnica of Bucharest, Romania. For over 13 years, I have been working as an Automation Software Engineer, combining my expertise in Java and Python to develop cutting-edge automation solutions.
Currently, I work as an Automation QA Engineer at a leading networking company, where I specialize in creating powerful and efficient automation tools. From designing and implementing personal automation projects to streamlining daily tasks, I am constantly pushing the boundaries of innovation.
Driven by my enthusiasm for teaching, I ventured into course creation to share my knowledge and help others on their learning journeys. After countless hours of research, editing, and refining, I launched high-quality courses on Udemy, including:
Java Networking Programming - TCP/IP Socket Programming
Genetic Algorithms & Neural Networks
These courses have reached thousands of satisfied students, providing them with a comprehensive understanding of complex topics in an accessible and engaging way.
If you're ready to embark on a learning journey filled with practical insights and hands-on experience, join one of my courses and let’s achieve your goals together!