论文标题
比较长生不老药和Python之间的神经网络训练表现
Comparing neural network training performance between Elixir and Python
论文作者
论文摘要
Python众多库集中在机器学习市场上，例如Tensorflow，Numpy，Pandas，Keras等，因此作为主要的编程语言之一，Python本身就是一个名字。 2021年2月，JoséValim和Sean Moriarity出版了数字Elixir（NX）库的第一个版本，这是用Elixir编写的Tensor操作库。 NX旨在使该语言成为GPU密集型操作的好选择。这项工作旨在使用MNIST和CIFAR-10数据集比较Python和Elixir在培训卷积神经网络（CNN）上的结果，得出的结论是，Python取得了更好的结果，而Elixir已经是可行的替代方案。
With a wide range of libraries focused on the machine learning market, such as TensorFlow, NumPy, Pandas, Keras, and others, Python has made a name for itself as one of the main programming languages. In February 2021, José Valim and Sean Moriarity published the first version of the Numerical Elixir (Nx) library, a library for tensor operations written in Elixir. Nx aims to allow the language be a good choice for GPU-intensive operations. This work aims to compare the results of Python and Elixir on training convolutional neural networks (CNN) using MNIST and CIFAR-10 datasets, concluding that Python achieved overall better results, and that Elixir is already a viable alternative.
