tensor2tensor
Tensor2Tensor is a library developed by Google Brain for deep learning, providing a range of models and datasets to enhance machine learning research. Now succeeded by Trax, T2T supports various tasks like image classification and language translation. Its architecture facilitates easy integration and modification of models, datasets, and hyperparameter sets. Highlighting models such as the Transformer and datasets like ImageNet and MNIST, it supports multiple modalities including text, audio, and images. Tensor2Tensor serves as a versatile tool for developers to innovate and build advanced AI solutions.
