Excerpt
Contents
1 Introduction
1.1 Context
1.1.1 About ICTLab
1.1.2 ARCHIVES project
1.1.3 Internship context
1.2 Report organization
2 State of the art
2.1 Artificial intelligence & machine learning
2.2 Artificial neural network (ANN)
2.2.1 History
2.2.2 Regular neural network
2.2.3 Convolutional neural network (LeNet)
2.2.4 Training and evaluating
3 Contribution
3.1 Data creation and augmentation
3.1.1 ARCHIVES dataset
3.1.2 Creating data
3.1.3 Augmenting the data
3.1.4 Summary and Result
3.2 Constructing the convolution neural network (LeNet) .
3.2.1 The model
3.2.2 Preparing data
3.2.3 Training
3.2.4 Validation and testing
3.3 Developing the network
4 Results
4.1 The basic network
4.1.1 Testing on the dataset
4.1.2 Testing on real images
4.2 The network modifications
4.2.1 Fully connected layer
4.2.2 Convolutional layers
4.3 The new network
5 Conclusion
A Transfer functions
- Quote paper
- Tai Doan (Author), 2016, Convolutional Neural Network in classifying scanned documents, Munich, GRIN Verlag, https://www.grin.com/document/349852
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