A series of blogs on PyTorch C++ API: Transfer Learning, Jupyter Notebook with Libtorch (Xeus Cling) and more

username: krshrimali
cooked: <p>Hi everyone.</p>
<p>I’m elated to share that I’ve been writing a series of blogs on using <code>PyTorch C++ API</code> frontend. By far, there have been 7 Blogs in the series which include:</p>
<ol>
<li><a href="https://krshrimali.github.io/PyTorch-C++-API/" rel="nofollow noopener">PyTorch C++ API: Installation and MNIST Digit Classification using VGG-16</a></li>
<li><a href="https://krshrimali.github.io/Custom-Data-Loading-Using-PyTorch-CPP-API/" rel="nofollow noopener">PyTorch C++ API: Using Custom Data</a></li>
<li><a href="https://krshrimali.github.io/Training-Network-Using-Custom-Dataset-PyTorch-CPP/" rel="nofollow noopener">PyTorch C++ API: Using Custom Data to Train a Network</a></li>
<li><a href="https://krshrimali.github.io/Blog-Dogs-VS-Cats/" rel="nofollow noopener">Classifying Dogs vs Cats using PyTorch C++ API: Part-1</a></li>
<li><a href="https://krshrimali.github.io/Classifying-Dogs-Cats-PyTorch-CPP-Part-2/" rel="nofollow noopener">Classifying Dogs vs Cats using PyTorch C++ API: Part-2</a></li>
<li><a href="https://krshrimali.github.io/Applying-Transfer-Learning-Dogs-Cats/" rel="nofollow noopener">Applying Transfer Learning on Dogs vs Cats Dataset using PyTorch C++ API</a></li>
<li><a href="https://krshrimali.github.io/Setting-Up-Xeus-Cling-Libtorch-OpenCV/" rel="nofollow noopener">Setting up Jupyter Notebook (Xeus Cling) for Libtorch and OpenCV Libraries</a></li>
</ol>
<p>I’ve also open-sourced codes for 2 major topics which include MNIST Digit Recognition and Transfer Learning. Here are the links to them:</p>
<ol>
<li>Digit Recognition on MNIST dataset using PyTorch C++: <a href="https://github.com/krshrimali/Digit-Recognition-MNIST-SVHN-PyTorch-CPP" rel="nofollow noopener">https://github.com/krshrimali/Digit-Recognition-MNIST-SVHN-PyTorch-CPP</a>
</li>
<li>Transfer Learning on Dogs vs Cats dataset using PyTorch C++: <a href="https://github.com/krshrimali/Transfer-Learning-Dogs-Cats-Libtorch" rel="nofollow noopener">https://github.com/krshrimali/Transfer-Learning-Dogs-Cats-Libtorch</a>
</li>
</ol>
<p>I plan to continue writing blogs and release a blog every week. Please share your feedback and any suggestions in the comments below.</p>
<p>Thanks!</p>

username: dambo
cooked: <p>Cant believe no one replied, what a great addition to the community effort, well done!.</p>

username: krshrimali
cooked: <p><a class="mention" href="/u/dambo">@dambo</a> - Thanks a lot for this. It means a lot. Happy to help the community who has given all it could, in open-sourcing Deep Learning Platform (PyTorch) to all.</p>

username: krshrimali
cooked: <p>Update on the blogs. I’m excited to share a start of another series of blogs on review and implementation of GANs using PyTorch C++ API. The first blog in this series is on DCGANs.</p>
<p>Link to the blog: <a href="https://krshrimali.github.io/DCGAN-using-PyTorch-CPP/" rel="nofollow noopener">https://krshrimali.github.io/DCGAN-using-PyTorch-CPP/</a></p>
<p>I’ll be sharing results and a short review on Strided and Fractionally Strided Convolutions in the next blog.</p>
<p>Hope this helps the community.</p>
<p>Thanks!</p>

username: krshrimali
cooked: <p>The blog was updated recently to a new theme (yay!) - and the links have changed substantially, please find all the blogs here: <a href="https://krshrimali.github.io/categories/pytorch/" class="inline-onebox" rel="noopener nofollow ugc">pytorch :: Kushashwa Ravi Shrimali (Kush) — Hello Friend NG HZ Theme</a>.</p>

username: Scorpio
cooked: <p>Great！I have to struggle with my poor English to show you my respect. I will schedule time to study torch, and c++ version should be my first choice. you are my teacher now:-).</p>