Image Classification and Object Detection with Visual Tools

Image Classification and Object Detection with Visual Tools

Learn how to use the Dataiku DSS deep learning plugins for image classification and object detection

About this course

Deep learning models are powerful tools for image classification, but are difficult and expensive to create from scratch. 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.

Using a built-in tutorial, you will accomplish the following tasks:

  • Install the Deep learning on images and Object detection in images plugins
  • Add a pre-trained deep learning model to the flow
  • Classify a set of test images with the pre-trained model
  • Transfer learning from a set of labeled training images to improve the pre-built model
  • Monitor the re-training of your model with Tensorboard
  • Detect objects using the Object detection in images plugin

Curriculum

  • Image Classification
  • Hands-On: Create Your Project and Prepare the Data
  • Hands-On: Install the Deep Learning Plugins
  • Hands-On: Add a Pre-Trained Model to the Flow
  • Hands-On: Classify a Set of Test Images with the Pre-Trained Model
  • Transfer Learning
  • Hands-On: Transfer Learning to Retrain the Model
  • Analyzing and Understanding Your Model with Tensorboard
  • Hands-On: Monitor the Re-Training of Your Model with Tensorboard
  • Object Detection
  • Hands-On: Object Detection
  • Wrap Up
  • Wrap Up: Image Classification

About this course

Deep learning models are powerful tools for image classification, but are difficult and expensive to create from scratch. 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.

Using a built-in tutorial, you will accomplish the following tasks:

  • Install the Deep learning on images and Object detection in images plugins
  • Add a pre-trained deep learning model to the flow
  • Classify a set of test images with the pre-trained model
  • Transfer learning from a set of labeled training images to improve the pre-built model
  • Monitor the re-training of your model with Tensorboard
  • Detect objects using the Object detection in images plugin

Curriculum

  • Image Classification
  • Hands-On: Create Your Project and Prepare the Data
  • Hands-On: Install the Deep Learning Plugins
  • Hands-On: Add a Pre-Trained Model to the Flow
  • Hands-On: Classify a Set of Test Images with the Pre-Trained Model
  • Transfer Learning
  • Hands-On: Transfer Learning to Retrain the Model
  • Analyzing and Understanding Your Model with Tensorboard
  • Hands-On: Monitor the Re-Training of Your Model with Tensorboard
  • Object Detection
  • Hands-On: Object Detection
  • Wrap Up
  • Wrap Up: Image Classification