Overview
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Learn the fundamentals of deep learning and its revolutionary applications in healthcare through this 17-minute lecture from Yale University's Medical Software Course. Explore how neural networks, inspired by the human brain, process complex medical data including images and genetic information. Discover the computational model of neurons and understand how multiple layers form powerful neural networks capable of interpreting medical imagery and other healthcare data. Master the purpose and function of various deep learning components including convolutional filters, LSTM networks, dropout layers, and pooling operations. Examine common neural network architectures like U-Net and their specific applications in medical image analysis. Gain insight into the diverse ways deep learning transforms healthcare, from diagnostic imaging to genetic data processing, while becoming familiar with popular deep learning toolkits used in the field.
Syllabus
11.3 | Demystifying Deep Learning: Neural Networks & Med. AI Applications – Medical Software Course
Taught by
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