Explore Convolutional Neural Networks

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

Course modules

Introduction

Neural Networks

Convolutional Layers

Visualize Filters

Visualize Layer Outputs

Compare Network Options

Conclusion

Language

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

Deep Learning Onramp

Explore Convolutional Neural Networks

Course modules

Introduction

Neural Networks

Convolutional Layers

Visualize Filters

Visualize Layer Outputs

Compare Network Options

Conclusion

Language

Hands-on exercises with automated feedbackAccess to MATLAB through your web browserShareable progress report and course certificate

Deep Learning Onramp

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