Word recognition with C-RNN Model architecture (PyTorch): Feature Exctractor: Resnet16 (pre-trained) RNN: 2-layer GRU Loss function: CTCLoss Datasets: MNIST digits Plate Numbers Dataset (https://github.com/DeepSystems/supervisely-tutorials/tree/master/anpr)