update README

README.md

@@ -60,6 +60,8 @@ uint32_t **getOutputDim**(); |  |  | Returns the output dimension.
 uint32_t **getCapacity**(); |  |  | Returns capacity of Lycoris.
 float **getFitness**(); |  |  | Returns the loss.
 std::string **getMode**(); |  |  | Returns mode of Lycoris (classify or predict).
+std::vector<uint32_t> **getLayers**(); |  |  | Returns the number of nodes in each layer of the neural network.
+std::vector<float> **getHiddenLayer**(uint32_t pos); | The parameter pos starts at index 0. | **pos**: The number of the layer needed. | Returns a vector of nodes in a specific layer of the best individual.
 *static* std::string **version**(); |  |  | Returns version information and copyright information.
 
 The funtion used to import the pre-trained model (`namespace LycorisNet`):

python/README.md

@@ -32,6 +32,8 @@ Function | Description |  Inputs | Returns
 **getCapacity**() |  |  | Returns capacity of Lycoris.
 **getFitness**() |  |  | Returns the loss.
 **getMode**() |  |  | Returns mode of Lycoris (classify or predict).
+**getLayers**() |  |  | Returns the number of nodes in each layer of the neural network.
+**getHiddenLayer**(pos) | The parameter pos starts at index 0. | **pos**: The number of the layer needed. | Returns a vector of nodes in a specific layer of the best individual.
 **version**() |  |  | Returns version information and copyright information.
 
 The funtion used to import the pre-trained model (`from LycorisNet import loadModel`):