最全最新最受欢迎深度学习入门301页PPT，李宏毅老师讲解涵盖深度学习发展进程，算法演进，实例分析，基础实验，图文并茂，深入浅出，揭开深度学习神秘面纱，窥探里面的真实世界,读完收益匪浅

Abstract The style-based GAN architecture (StyleGAN) yields state-of-the-art results in data-driven unconditional generative image modeling. We expose and analyze several of its characteristic artifacts, and propose changes in both model architecture and training methods to address them. In particular, we redesign generator normalization, revisit progressive growing, and regularize the generator to encourage good conditioning in the mapping from latent vectors to images. In addition to improving image quality, this path length regularizer yields the additional benefit that the generator becomes significantly easier to invert. This makes it possible to reliably detect if an image is generated by a particular network. We furthermore visualize how well the generator utilizes its output resolution, and identify a capacity problem, motivating us to train larger models for additional quality improvements. Overall, our improved model rede- fines the state of the art in unconditional image modeling, both in terms of existing distribution quality metrics as well as perceived image quality.

Titanic数据集主要包含两部分,训练集(train.csv)和测试集(test.csv)。其中训练集中包含乘客的基本信息和最终在事故中的存活情况,测试集只包含乘客的基本信息, 不包含存活情况。 目的:通过对训练集中乘客的基本信息和存活情况的分析,找到背后隐藏的某种规律,去推断测试集中的乘客是否遇难。

用FFNN、AlexNet、LeNet网络实现mnist手写数字识别

Attention is all you need论文阅读笔记

Swin-Transformer-main（截止到2022年12月23日）.zip

鞋子数据集，由500,025张目录图片组成，这些图片被分为4大类——鞋子、凉鞋、拖鞋和靴子——其次是功能性类型和个人品牌。鞋子的中心是白色背景和图片在同一方向，方便分析， 鞋子数据集，由500,025张目录图片组成，这些图片被分为4大类——鞋子、凉鞋、拖鞋和靴子——其次是功能性类型和个人品牌。鞋子的中心是白色背景和图片在同一方向，方便分析，

OSError: libcusparse.so.11: cannot open shared object file: No such file or directory

摘要2 设计内容1 引言项目背景钢铁生产巨头Severstal在高效的钢铁开采和生产方面处于领先地位，他们现在正在寻求机器学习，以提高自动化程度，提高效率并保持

数据集官网：https://ai.stanford.edu/~amaas/data/sentiment/ 数据集的训练集和测试集各有25000个样本，且正负样本个数相同，均为12500个。 该数据集和官网提供的相比，去除了一些不必要的文件，其他均未改动。