NumPy诞生为了弥补这些缺陷。它提供了两种基本的对象： ndarray：全称（n-dimensional array object）是储存单一数据类型的 多维数组。 ufunc：全称（universal function object）它是一种能够对数组进行处 理的函数。 NumPy的官方文档： https://docs.scipy.org/doc/numpy/reference/ NumPy是什么？ ufunc函数 01 NumPy概述 02 NumPy数组(ndarry)对象 03 ufunc函数 04 NumPy的函数库 24 ufunc函数 ufunc是universal function的简称，它是一种能对数组每个元素进 行运算的函数。NumPy的许多ufunc函数都是用C语言实现的，因此 它们的运算速度非常快。 > x = np.linspace(0, 2*np

WikiText-103 dataset is derived from English Wikipedia pages. 4 Howard, Jeremy and Sebastian Ruder. "Universal Language Model Fine-tuning for Text Classification." arXiv, 18 Jan. 2018, doi:10.48550/arXiv.1801 objective function can help with generalization. Sharpness Aware Minimization Neural networks are universal function approximators (i.e. given enough parameters, they can learn any function) and their objective

since this would lead to a 32 / 8 = 4x reduction in space. This fits in well since there is near-universal support for unsigned and signed 8-bit integer data types. 4. The quantized weights are persisted