Coursera-DeepLearning-Part4-Week1-take away

Wk1 - Foundations of Convolutional Neural Networks

学习目标

• Understand the convolution operation
• Understand the pooling operation
• Remember the vocabulary used in convolutional neural network (padding, stride, filter, ...)
• Build a convolutional neural network for image multi-class classification

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Convolutional Neural Networks

1. Computer Vision

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2.Edge Detection Example

Python: conv-forward
TensorFlow: tf.nn.conv2d

image -> filter -> image

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3. More Edge Detection

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4. Padding

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5. Strided Convolutions

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6. Convolutions Over Volume

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7. One Layer of a Convolutional Network

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8. Simple Convolutional Network Example

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9. Pooling Layers

max pooling 经常被用到，average pooling较少被用到，用到的话，一般是处理很深的深度网络

一般都不需要做Padding.本身Pooling 就是把规模缩小，padding又放大干什么呢

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10. CNN Example

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11. Why Convolutions?

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Quiz

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Programming Assignments