There have been some major advancements to the RapidMiner platform since this article was originally published. We’re on a mission to make machine learning more accessible to anyone. For more details, check out our latest release.
Here, we present to you the basics of deep learning and its broader scope. Discover the main components used in creating neural networks and how RapidMiner enables you to leverage the power of Tensorflow, Microsoft Cognitive Toolkit and other frameworks in your existing RapidMiner analysis chain.
Philipp Schlunder, a member of the data science team at RapidMiner, explores:
- A basic overview of deep learning and its building blocks
- The scope of deep learning applications
- How RapidMiner leverages TensorFlow and other frameworks through its new Keras Extension in RapidMiner Studio 7.6
Slides from the webinar are available here.