Research Article
Online Doctor Recommendation with Convolutional Neural Network and Sparse Inputs
Table 2
PMF-CNN baseline architecture.
| Parameter name | Parameter setting | Description |
| CNN layer | 2 | The number of CNN layers | | 16 | The number of hidden layers | | 2 | The number of filters | | 4 | The number of kernels | | 2 | The number of strides | | ReLU | Activation function | Max pooling | 1 | The number of max poolings | Flattened | 1 | Flattened convolution | Fully connected | 1 | Fully connected layer | | 0.10 | Discard rate | | 0.01 | Regularization coefficient |
|
|