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image for course Explore Convolutional Neural Networks

Explore Convolutional Neural Networks

Experiment with different layers in pretrained convolutional neural networks to visualize what a deep network learns to classify images. You’ll look at image filters, and the information passed between network layers, to understand how different types of layers work.

Course modules

Introduction

Get an overview of the course.

Lessons:
  • Course Overview
  • Outline and Learning Outcomes

Neural Networks

Understand the role of different layers in a neural network.

Lessons:
  • Neural Network Fundamentals
  • Create a Simple Architecture
  • Understand a Simple Architecture

Convolutional Layers

Learn about the convolution operation and perform simple convolutions on images to better understand convolutional layers.

Lessons:
  • Layers and Filters
  • Experiment with Simple Convolutions
  • Convolutional Layers

Visualize Filters

Examine filters learned in a pretrained network.

Lessons:
  • Filters in Convolution Layers
  • View Filters from GoogLeNet

Visualize Layer Outputs

Examine how an input image is processed by different layers in a pretrained network.

Lessons:
  • What is an Activation?
  • View Activations
  • View Activations from GoogLeNet
  • Compare Montage of Activations from GoogLeNet

Compare Network Options

Investigate which networks are suitable for different data.

Lessons:
  • Compare Pretrained Networks
  • Limitations of Pretrained Networks
  • When to Train from Scratch

Conclusion

Learn next steps and give feedback on the course.

Lessons:
  • Summary
  • Additional Resources
  • Survey

Format:Self-paced

Language:English

Language

  • Hands-on exercises with automated feedback
  • Access to MATLAB through your web browser
  • Shareable progress report and course certificate

Deep Learning Onramp

Get started quickly using deep learning methods to perform image recognition.

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