Image Classification with Code

Image Classification with Code

Learn how to build image classification models with Keras in Dataiku DSS

About this course

Deep learning models are powerful tools for image classification. In Dataiku you can build a convolutional neural network model for image classification.

However, such models can be difficult and expensive to create from scratch, especially if you don’t have a large number of images for training the model. Dataiku provides a plugin that supplies a number of pre-trained deep learning models that you can use to classify images. You can also retrain a model to specialize it on a particular set of images, a process known as transfer learning.

This course walks through how to build a convolutional network for image classification, using Keras code in Dataiku’s Visual Machine Learning.

We’ll then walk through how to perform transfer learning retrain a model on a particular set of images.

Curriculum

  • Deep Learning for Images
  • Recognizing Handwritten Digits
  • Transfer Learning
  • Wrap Up: Deep Learning for Images

About this course

Deep learning models are powerful tools for image classification. In Dataiku you can build a convolutional neural network model for image classification.

However, such models can be difficult and expensive to create from scratch, especially if you don’t have a large number of images for training the model. Dataiku provides a plugin that supplies a number of pre-trained deep learning models that you can use to classify images. You can also retrain a model to specialize it on a particular set of images, a process known as transfer learning.

This course walks through how to build a convolutional network for image classification, using Keras code in Dataiku’s Visual Machine Learning.

We’ll then walk through how to perform transfer learning retrain a model on a particular set of images.

Curriculum

  • Deep Learning for Images
  • Recognizing Handwritten Digits
  • Transfer Learning
  • Wrap Up: Deep Learning for Images