Tutorial of sequential model of Keras
This tutorial contains:
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visualize image data (1. visualize_data.ipynb)
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training DNN (2. train_dnn_model.ipynb)
- training CNN (3. train_cnn_model.ipynb)
- training FCN (4. train_fcn_model.ipynb)
Jonathan, Long, et al. "Fully convolutional networks for semantic segmentation." 2015.
- training ResNet (5. train_res_model.ipynb)
He, Kaiming, et al. "Deep residual learning for image recognition." 2015
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design custom loss (6. train_custom_loss.ipynb)
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design custom optimizer (7. train_custom_optimizer.ipynb)
Tim, Salimans, et al. "Weight normalization: a simple reparameterization to accelerate training of deep neural networks" 2016. -
design custom image preprocess function for training (8. train_custom_preprocess.ipynb)
Terrance, DeVries, et al. "Improved regularization of convolutional neural networks with cutout" 2017.
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