- Several callback examples (shareable link). Callbacks are used to stop training to avoid overfitting or if learning rate is enough.
- U-Net segmentation (shareable link) is a convolutional neural network that was developed for biomedical image segmentation at the Computer Science Department of the University of Freiburg, Germany. Wiki link. The network is based on the fully convolutional network and its architecture was modified and extended to work with fewer training images and to yield more precise segmentations. Segmentation of a 512*512 image takes less than a second on a modern GPU.
- Deep Residual U-Net (ResUNet) (shareable link) is based on residual neural network and U-Net.
- TensorFlow Lite conversion examples for video course Introduction to TensorFlow Lite.
- Logistic Regression (shareable link) is a fundamental classification technique. It’s a relatively uncomplicated linear classifier.