This course dives deep into two of the most powerful AI techniques: neural networks and random forests. We'll start by exploring the structure and properties of neural networks, then code some simple models and learn to avoid overfitting. After a project predicting heart disease, we'll move to random forests and explore their differences and origins. Finally, we'll complete a project predicting similarity between health patients.
Mask R-CNN - Practical Deep Learning Instance Segmentation Tutorials
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Learn how to use Mask R-CNN for instance segmentation with this practical deep learning tutorial. This course covers the installation and configuration of the Mask R-CNN framework, its concept and intuition, and how to interpret its output. You'll also learn how to write and tweak code for real-time Mask R-CNN webcam applications, train models for segmentation and detection of potholes, and develop your own applications using Mask R-CNN. Become an expert in OpenCV Python and Mask R-CNN today!
Neural Network Tutorial Artificial Neural Network Backpropagation in Neural Networks AI Course
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Enroll now and get a comprehensive understanding of Artificial Neural Networks and Backpropagation in Neural Networks. Learn the fundamentals of AI and become an expert in the field.
Neural Networks Demystified
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Learn the fundamentals of neural networks and how to apply them to solve real-world problems. Get an intuitive understanding of the mathematics behind neural networks and gain the skills to build your own.
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