[Study Notes] Week1_Convolutional Neural Networks_Simple Convolutional Network Example

1. ConvNet (Convolutional Neural Network)

2. The size of the output image is

    

3. Finally, a high-dimensional vector is obtained, and the predicted value is obtained through Logistic / Softmax Regression 

    

4. Types of Layers in Convolutional Neural Networks

    1) Cconvolution Layer (CONV, convolutional layer)

    2) Pooling Layer (POOL, pooling layer)

    3) Fully Connected (FC, fully connected layer)

    Pooling and fully connected layers are easier to apply than convolutional layers