As an important element of machine learning, the RapidMiner team thought it would be helpful to provide an introduction to deep learning. Before we dive into the details, let’s set a solid foundation of what deep learning actually is. Deep learning is a type of machine learning and AI that emulates the way that humans acquire knowledge.
If you’re looking to uncover the basics of deep learning and its broader scope, we’ve got you covered. In the video below, you will 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 video, you will learn:
- 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 Keras Extension in RapidMiner Studio
An Introduction to Deep Learning with RapidMiner
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.