03-Deep Learning

Enterprise 2023-05-05 08:21:49 views: null

1. Convolutional neural network suitable for image processing

1. Why are convolutional neural networks suitable for image processing?

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As shown in the figure above, if a fully connected neural network is used, the input image size is 1024x1024, the number of neurons in the first hidden layer is 1000, and the weight order of the first layer is 10 9 , too many parameters will lead to ^overfitting . Convolutional neural networks can effectively reduce the number of weights.

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2. What are the characteristics of convolutional neural network?

Two important features of convolutional neural network: 局部连接, 权重共享, which can effectively reduce weight parameters, avoid overfitting, and provide the possibility to increase the number of convolutional layers

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3. Convolutional neural network structure

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