<div class="card mb10">
<div class="card-header accordion-header" role="tab" id="q1">
<h5 class="mb-0">
<a data-toggle="collapse" data-parent="#accordion" href="#a1" aria-expanded="false" aria-controls="a1">
Why Deeplearning4j?
</a>
</h5>
</div>
<div id="a1" class="collapse in" role="tabpanel" aria-labelledby="q1">
<div class="card-body">
DL4j is a set of tools for running deep learning workloads. It includes a pytorch/tensorflow 2 like library called samediff. It also contains interop with main stream python tools via import from tensorflow and keras. This allows easy deployment in to enterprise environments. Our core c++ codebase libnd4j is also very small and easy to extend set of math operations compilable on a wide variety of architectures. Lastly, dl4j contains a very easy to use spark integration allowing for distributed training and batch inference over a cluster on both cpus and gpus.
</div>
</div>
</div>
<div class="card mb10">
<div class="card-header accordion-header" role="tab" id="q3">
<h5 class="mb-0">
<a data-toggle="collapse" data-parent="#accordion" href="#a3" aria-expanded="false" aria-controls="a3">
How can I contribute?
</a>
</h5>
</div>
<div id="a3" class="collapse in" role="tabpanel" aria-labelledby="q3">
<div class="card-body">
Developers who would like to contribute to Deeplearning4j can get started by reading our <a href="/contribute">Contribtor's Guide</a>.
</div>
</div>
</div>
<div class="col-md-2"></div>