TRAX is a deep learning library developed by Google AI. It is designed to be simple, efficient, and easy to use, with a focus on enabling research. TRAX supports various neural network architectures, including recurrent neural networks (RNNs), transformers, and convolutional neural networks (CNNs). It emphasizes a functional programming style and uses automatically differentiated computation graphs for training models. It is commonly used in research settings for tasks like natural language processing, machine translation, and reinforcement learning.
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