 (for recording trainings)</span>
<span class="sd">            5. do initial training</span>
<span class="sd">            6. create objective function</span>
<span class="sd">            7. evaluate objective function without augmentation</span>

<span class="sd">        Args:</span>
<span class="sd">            images (numpy.array/str): array with shape (n_images, dim1, dim2 , channel_size), or a string with name of keras-dataset (cifar10, fashion_mnsit)</span>
<span class="sd">            labels (numpy.ar