1. Martín, A. et al. TensorFlow: large-scale machine learning on heterogeneous systems http://tensorflow.org/ (2015).
2. Paszke, A. et al. Automatic differentiation in PyTorch. In 31st Conference on Neural Information Processing Systems (NIPS 2017) https://openreview.net/pdf?id=BJJsrmfCZ (2017).
3. James, B., Roy, F., Peter, H., Matthew, B. & James, J. JAX: Autograd and XLA (Google, 2021).
4. He, K., Zhang, X., Ren, S. & Sun, J. Deep residual learning for image recognition. Preprint at https://arxiv.org/abs/1512.03385 (2015).
5. Russakovsky, O. et al. ImageNet Large Scale Visual Recognition Challenge. Int. J. Comput. Vis. 115, 211–252 (2015).