<p>Going Deeper With Convolution (or everything you need to know GoogLeNet if you know how a CNN works and is built) : <a href="http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Szegedy_Going_Deeper_With_2015_CVPR_paper.pdf" rel="nofollow noreferrer">http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Szegedy_Going_Deeper_With_2015_CVPR_paper.pdf</a></p>

<p>Rethinking the Inception Architecture for Computer Vision (improvements) : <a href="https://arxiv.org/pdf/1512.00567.pdf" rel="nofollow noreferrer">https://arxiv.org/pdf/1512.00567.pdf</a></p>

<p>Hope it helps</p>
How is implemented Google's neural network for image recognition?
<p>I have a memoir to write and the main topic is comparing Google's deep learning algorithms for image recognition with the one that my teacher has made + create my own (based on the one that my teacher made) with incremental neural network and make a benchmark.</p>

<p>Can anyone give me some resources where I can learn more about the implementation of Google's deep learning neural network for image recognition ?</p>