课程大纲：卷积神经网络培训
Foundations of Convolutional Neural Networks
Learn to implement the foundational layers of CNNs (pooling, convolutions) and to stack them properly
in a deep network to solve multi-class image classification problems.
Deep convolutional models: case studies
Learn about the practical tricks and methods used in deep CNNs straight from the research papers.
Object detection
Learn how to apply your knowledge of CNNs to one
of the toughest but hottest field of computer vision: Object detection.
Special applications: Face recognition & Neural style transfer
Discover how CNNs can be applied to multiple fields,
including art generation and face recognition.
Implement your own algorithm to generate art and recognize faces!
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