16f50016cabab22efde6f183c89efe0a11b0c683,src/RMDL_Image.py,,image_classifciation,#Any#Any#Any#Any#Any#Any#Any#Any#Any#,22

Before Change

    while i < Random_Deep[1]:
        try:
            print("RNN ", i, "\n")
            model.append(Sequential())
            model[i], model_tmp = BuildModel.Image_model_RNN(number_of_classes, shape)

            filepath = "weights\weights_RNN_" + str(i) + ".hdf5"
            checkpoint = ModelCheckpoint(filepath, monitor="val_acc", verbose=1, save_best_only=True,

After Change

            i = i + 1
            del model_tmp
            del model_DNN
            gc.collect()
        except:
            print("Error in model ", i, "   try to re-generate an other model")
    i =0
    while i < Random_Deep[1]:

Instances