Return weights as list

Author: ahmedfgad

pygad/cnn/cnn.py

@@ -54,7 +54,7 @@ def layers_weights(model,
     # Currently, the weights of the layers are in the reverse order. In other words, the weights of the first layer are at the last index of the 'network_weights' list while the weights of the last layer are at the first index.
     # Reversing the 'network_weights' list to order the layers' weights according to their location in the network architecture (i.e. the weights of the first layer appears at index 0 of the list).
     network_weights.reverse()
-    return numpy.array(network_weights)
+    return network_weights
 
 def layers_weights_as_matrix(model, vector_weights):
 
@@ -140,7 +140,7 @@ def layers_weights_as_vector(model, initial=True):
     # Currently, the weights of the layers are in the reverse order. In other words, the weights of the first layer are at the last index of the 'network_weights' list while the weights of the last layer are at the first index.
     # Reversing the 'network_weights' list to order the layers' weights according to their location in the network architecture (i.e. the weights of the first layer appears at index 0 of the list).
     network_weights.reverse()
-    return numpy.array(network_weights)
+    return network_weights
 
 def update_layers_trained_weights(model, final_weights):