课程模块
Classifying Images with Convolutional Networks
Get an overview of the course. Perform image classification using pretrained networks. Use transfer learning to train customized classification networks.
Understanding Convolutional Neural Networks
Understand how information is passed between network layers and how different types of layers work.
课程：
- Understanding Neural Networks
- Viewing the Activations of Different Layers
- Review - Understanding Convolutional Neural Networks
Creating and Training Networks
Train networks from scratch. Understand how training algorithms work. Set training options to monitor and control training.
课程：
- Creating Network Architectures
- Understanding Network Training
- Monitoring Training Progress
- Review - Creating and Training Networks
Improving Performance
Choose and implement modifications to training algorithm options and training data to improve network performance.
课程：
- Visualizing Network Predictions
- Review - Improving Performance
Image Classification Project
Bring together image classification concepts that you have learned with a project.
课程：
- Project - Classify Fashion Images
Performing Regression
Create convolutional networks that can predict continuous numeric responses.
课程：
- Transfer Learning for Regression
- Evaluating a Regression Network
- Review - Performing Regression
Using Deep Learning for Computer Vision
Train networks to locate and label specific objects within images.
课程：
- Computer Vision Applications
- Evaluating Object Detectors
- Review - Deep Learning for Computer Vision
Classifying Sequence Data with Recurrent Networks
Build and train networks to perform classification on ordered sequences of data, such as time series or sensor data.
课程：
- Course Example - Classify Flooding Level
- Managing Collections of Signal Data
- Long Short-Term Memory Networks
- Improving LSTM Performance
- Review - Classifying Sequence Data with Recurrent Networks
Classifying Sequences of Output
Use recurrent networks to create sequences of predictions.
课程：
- Course Example - Classify Regions of Flooding Levels
- Labeling Regions of Interest
- Sequence-to-Sequence Classification
- Review - Classifying Sequences of Output
Sequence Classification Project
Bring together signal classification concepts that you have learned with a project.
课程：
- Project - Robot Navigation
Conclusion
Learn next steps and give feedback on the course.
