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- AI
- Data
Introduction to Neural Networks
Neural networks are a series of algorithms modeled after the human brain, designed to recognize patterns in data. They interpret sensory data through machine perception, labeling, and clustering raw input. These networks can learn and improve over time, making them essential for tasks like image and speech recognition. This learning path gives you a comprehensive introduction to the topic so you can springboard into more advanced applications for neural networks.
Content in this path
Introduction to Neural Networks
This learning path gives you a comprehensive introduction to the topic so you can springboard into more advanced applications for neural networks.
- Optimizing neural networks
- Transfer learning
- Using neural networks for image and voice data analysis
- Neural network solutions for enterprise environments
- Troubleshooting neural network performance
- Learners interested in this skill path should have a foundational knowledge of basic machine learning principles. Learners should also have proficiency in Python and data handling skills.
- Artificial intelligence
- Machine learning
- Data Processing