FCN-VGG16
Posted by SNC_official
Copy the project to Neural Network Console Cloud
Dataset : Training
- Number of data : 40,000
- Variable : x (In)
- Type : Image
- Shape : 1, 64, 64
- Variable : y (Out)
- Type : Image
- Shape : 1, 64, 64
Examples of variable x, y in “Training”
Dataset : Validation
- Number of data : 1,000
- Variable : x (in)
- Type : Image
- Shape : 1, 64, 64
- Variable : y (out)
- Type : Image
- Shape : 1, 64, 64
Examples of variable x, y in “Validation”
Network Architecture : Main
| Type | Value |
|---|---|
| Output | 2,457,020 |
| CostParameter | 134,264,544 |
| CostAdd | 1,142,948 |
| CostMultiply | 32,768 |
| CostMultiplyAdd | 1,727,588,352 |
| CostDivision | 4,096 |
| CostExp | 4,096 |
| CostIf | 1,638,400 |
Training Procedure : Optimizer
Optimize network “Main” using “Training” dataset.
- Batch size : 8
- Solver : Momentum
- Learning rate: 0.01
- decayed every 1 iteration using an exponential rate of 0.5 .
- Momentum : 0.9
- Weight decay : 0.0016
Experimental Result : Learning Curve
References
- Sony Corporation. Neural Network Console : Not just train and evaluate. You can design neural networks with fast and intuitive GUI. https://dl.sony.com/
- Sony Corporation. Neural Network Libraries : An open source software to make research, development and implementation of neural network more efficient. https://nnabla.org/
- Convolution – Chen et al., DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. https://arxiv.org/abs/1606.00915, Yu et al., Multi-Scale Context Aggregation by Dilated Convolutions. https://arxiv.org/abs/1511.07122
- ReLU – Vinod Nair, Geoffrey E. Hinton. Rectified Linear Units Improve Restricted Boltzmann Machines. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.165.6419&rep=rep1&type=pdf
- Momentum – Ning Qian : On the Momentum Term in Gradient Descent Learning Algorithms. http://www.columbia.edu/~nq6/publications/momentum.pdf