<p>If i recall correct I think it is Googles NasNet. It's a very cool (and computer intensive) method used to design the model architecture, but good for transfer learning and prediction. I would recommend taking a look at the <a href="https://arxiv.org/pdf/1707.07012.pdf" rel="nofollow noreferrer">NasNet-paper</a></p>

<p>It should also be available to use through <code>keras.application</code></p>
What is recognised as the best image classification neural network for 2018?
<p>Prior to 2017, it was relatively simple to understand which CNN was the best to classify images with the imagnet yearly competition.</p>

<p><a href="https://i.stack.imgur.com/l86pf.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/l86pf.png" alt="enter image description here"></a></p>

<p>In 2017 the imagenet competition was divided into different <a href="http://image-net.org/challenges/LSVRC/2017/results" rel="nofollow noreferrer">tasks</a> with winners such as <a href="https://arxiv.org/abs/1709.01507" rel="nofollow noreferrer">this</a>.  In 2018, the competition moved to kaggle and became about 3D detection.  </p>

<p>I am interested in image classification only and there no longer seems to be a competition for this.</p>

<p>Does anyone know what neural network was recognised as the best for image classification in 2018?</p>