👉 In the context of machine learning, "torchlike" refers to a type of neural network architecture that is similar in structure and purpose to the PyTorch library. It is designed to be more efficient for large-scale computations and can handle data with sparse or noisy values better than traditional deep neural networks. While this term may not have a direct definition in terms of what it means, it could potentially describe an architecture that is highly optimized for handling large datasets and computational resources.
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