Philipp Schlunder, a member of the Data Science team at RapidMiner presents 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.
In this webinar we explore:
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