fix(activation): config loading

neuralnetlib/activations.py

@@ -12,16 +12,19 @@ def derivative(self, x: np.ndarray) -> np.ndarray:
         raise NotImplementedError
 
     def get_config(self) -> dict:
-        return {}
+        return {"name": self.__class__.__name__}
 
     @staticmethod
     def from_config(config: dict):
-        name = config['name']
+        name = config.get('name')
+        if not name:
+            raise ValueError('Config must contain "name" field')
+
+        constructor_params = {k: v for k, v in config.items() 
+                            if k not in ['name', 'config']}
 
         for activation_class in ActivationFunction.__subclasses__():
             if activation_class.__name__ == name:
-                constructor_params = {k: v for k,
-                                      v in config.items() if k != 'name'}
                 return activation_class(**constructor_params)
 
         raise ValueError(f'Unknown activation function: {name}')