Introduction to Deep Learning with Code

Introduction to Deep Learning with Code

Build your first deep learning model with Keras in Dataiku

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About this course

You can define a Deep Learning architecture using the Keras library to build a custom model in Dataiku’s Visual Machine Learning tool. You can then train, deploy, and score the model like any other model created and managed in Dataiku DSS.

Deep learning offers extremely flexible modeling of the relationships between a target and its input features, and is used in a variety of challenging applications, such as image processing, text analysis, and time series, in addition to models for structured data.

This course walks through the Deep Learning interface in Dataiku DSS, using a simple multilayer perceptron (MLP) for classification.

Curriculum

  • Your First Deep Learning Model
  • The Deep Learning Model
  • Model Results -- Intro to Deep Learning
  • Deploy the Model to the Flow
  • What’s next -- Deep Learning

About this course

You can define a Deep Learning architecture using the Keras library to build a custom model in Dataiku’s Visual Machine Learning tool. You can then train, deploy, and score the model like any other model created and managed in Dataiku DSS.

Deep learning offers extremely flexible modeling of the relationships between a target and its input features, and is used in a variety of challenging applications, such as image processing, text analysis, and time series, in addition to models for structured data.

This course walks through the Deep Learning interface in Dataiku DSS, using a simple multilayer perceptron (MLP) for classification.

Curriculum

  • Your First Deep Learning Model
  • The Deep Learning Model
  • Model Results -- Intro to Deep Learning
  • Deploy the Model to the Flow
  • What’s next -- Deep Learning