However, Torch still holds its ground due to its efficiency and the ease with which developers can implement complex neural network architectures. Its influence can be seen in the design principles of many modern deep learning libraries.
However, Torch still holds its ground due to its efficiency and the ease with which developers can implement complex neural network architectures. Its influence can be seen in the design principles of many modern deep learning libraries.