New System
* Multi dataset support throughout the API. [example](https://github.com/fastestimator/fastestimator/blob/master/tutorial/advanced/t13_multi-dataset_training_evaluation.ipynb)
Dataset
* SVHN Cropped classification dataset
* Enable nested list in dataset and BatchDataset. [example](https://github.com/fastestimator-util/fastestimator-misc/tree/master/examples/1.3/special_batch_compo)
* TEDLR NMT dataset
Pipeline
* Enhance Pipeline key filtering warning
* Change pipeline.get_loader to context manager (non backward-compatible). [example](https://github.com/fastestimator-util/fastestimator-misc/blob/master/examples/1.3/pipeline_get_loader/get_loader.py)
* Integrated new augmentation methods: `RandomShape`, `IAAAdditiveGaussianNoise`, `IAACropAndPad`
Network:
* Auto Weight decay adjustment for SGDW related optimizers in tensorflow addons
* CrossEntropy loss can apply class weights now. [example](https://github.com/fastestimator-util/fastestimator-misc/tree/master/examples/1.3/cross_entropy_class_weight)
* ModelOp can extract intermediate layer results easily. [example](https://github.com/fastestimator-util/fastestimator-misc/tree/master/examples/1.3/cross_entropy_class_weight)
* New attentionUnet architecture is now available for direct import.
* Start using experimental_relax_shapes=True in to make different batch shape training more efficient for tensorflow. (now tf only builds graph when rank of input changes, as opposed to when shape changes)
* TensorFlow user can have the option to save architecture together with weights.
* Added fine-tuning example. [example](https://github.com/fastestimator-util/fastestimator-misc/tree/master/examples/1.3/pretrain_finetune)
Estimator
* Enable eager option in tensorflow backend for easier debugging [example](https://github.com/fastestimator-util/fastestimator-misc/tree/master/examples/1.3/eager_warmup)
XAI:
* UMAP
* Eigen Cam. [example](https://github.com/fastestimator/fastestimator/tree/master/tutorial/xai)
* Grad Cam. [example](https://github.com/fastestimator/fastestimator/blob/master/tutorial/xai/t05_gradcam.ipynb)
Apphub
* Super Convergence
* NASWOT
* YOLOV5
* Transformer
* Vision Transformer