Sure, here's a year-long syllabus for a high school course on neural networks with a focus on creative problem-solving and entrepreneurship. 

**Course Title:** Creative Applications of Neural Networks

**Course Description:** This course introduces students to the world of neural networks and their applications. The focus is on understanding the principles of neural networks and thinking creatively about how they can be applied to solve real-world problems. The course encourages entrepreneurship by challenging students to come up with innovative neural network applications.

**Course Duration:** 1 Academic Year (36 weeks)

**Course Structure:** Weekly lectures with assignments and a final project

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**Week 1-2: Introduction to Neural Networks**
- What are neural networks?
- Basic concepts: neurons, weights, biases, activation functions
- Assignment: Identify a problem in your community that could potentially be solved using neural networks.

**Week 3-4: Types of Neural Networks**
- Feedforward Neural Networks
- Convolutional Neural Networks
- Recurrent Neural Networks
- Assignment: Choose one type of neural network and brainstorm a unique application for it.

**Week 5-6: Training Neural Networks**
- Understanding learning algorithms
- Backpropagation and gradient descent
- Overfitting and underfitting
- Assignment: Develop a business plan for a startup that uses neural networks. 

**Week 7-8: Neural Networks in Computer Vision**
- Image recognition
- Object detection
- Assignment: Propose a novel application of neural networks in the field of computer vision.

**Week 9-10: Neural Networks in Natural Language Processing**
- Text generation
- Sentiment analysis
- Assignment: Propose a novel application of neural networks in the field of natural language processing.

**Week 11-12: Ethics and Bias in Neural Networks**
- Understanding bias in machine learning
- Ethical considerations in AI
- Assignment: Write an essay on the ethical implications of a neural network application.

**Week 13-14: Neural Networks in Healthcare**
- Disease diagnosis
- Drug discovery
- Assignment: Propose a novel application of neural networks in the field of healthcare.

**Week 15-16: Neural Networks in Finance**
- Algorithmic trading
- Credit scoring
- Assignment: Propose a novel application of neural networks in the field of finance.

**Week 17-18: Neural Networks in Entertainment**
- Game development
- Music and art generation
- Assignment: Propose a novel application of neural networks in the field of entertainment.

**Week 19-20: Review and Midterm Project**
- Review of concepts learned so far
- Midterm Project: Develop a detailed proposal for a neural network application, including problem statement, proposed solution, and business model.

**Week 21-36: Final Project**
- Students will spend the second half of the course developing their final project. This project will involve creating a detailed plan for a startup that uses a neural network to solve a real-world problem. The plan should include a problem statement, proposed neural network solution, business model, marketing strategy, and ethical considerations. The final project will be presented in the last week of the course.

**Note:** While this course does not focus on programming, students are encouraged to explore coding neural networks on their own. Resources for self-study will be provided.
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