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卷積神經(jīng)網(wǎng)絡(luò)培訓(xùn)

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!