Exception thrown: 'Tensorflow.ValueError' in Tensorflow.Keras.dll: 'You are trying to load a weight file containing System.String[] layers into a model with 5 layers.'
   at Tensorflow.Keras.Saving.hdf5_format.load_weights_from_hdf5_group(Int64 f, List`1 layers)
   at Tensorflow.Keras.Engine.Model.load_weights(String filepath, Boolean by_name, Boolean skip_mismatch, Object options)

public class Network {
    private IModel model;
    public Network()
    {
        var layers = keras.layers;
        var input = keras.Input(shape: 301, name: "game-parameters");
        var dense = layers.Dense(256, activation: keras.activations.Relu).Apply(input);


        var output = layers.Dense(1, activation: keras.activations.Linear).Apply(dense);

        model = keras.Model(input, output, name: "example");
        model.compile(optimizer: keras.optimizers.Adam(learning_rate: 0.001f), loss: keras.losses.MeanSquaredError(), metrics: new[] { keras.metrics.Accuracy() });
    }

    public void Save()
    {
        model.save_weights("./model.h5, save_format: "h5");
    }

    public void Load()
    {
        model.load_weights("./model.h5");
    }
}

public class Program
{
    public static void Main()
    {
        var model1 = new Network();
        var model2 = new Network();
        model1.Save();
        model2.Load();

        // or if model.h5 already exists
       model1.Load();
       model2.Load();
    }
}