RN-08516-001_v23.07 | July 2023 PyTorch Release Notes PyTorch RN-08516-001_v23.07 | ii Table of Contents Chapter 1. PyTorch Overview..................................................... ..... 3 Chapter 4. PyTorch Release 23.07.................................................................................................... 5 Chapter 5. PyTorch Release 23.06....................... ......13 Chapter 6. PyTorch Release 23.05..................................................................................................21 Chapter 7. PyTorch Release 23.04........................

Lecture Notes on Linear Regression Feng Li fli@sdu.edu.cn Shandong University, China 1 Linear Regression Problem In regression problem, we aim at predicting a continuous target value given an input

Lecture Notes on Support Vector Machine Feng Li fli@sdu.edu.cn Shandong University, China 1 Hyperplane and Margin In a n-dimensional space, a hyper plane is defined by ωT x + b = 0 (1) where ω ∈ Rn

Lecture Notes on Gaussian Discriminant Analysis, Naive Bayes and EM Algorithm Feng Li fli@sdu.edu.cn Shandong University, China 1 Bayes’ Theorem and Inference Bayes’ theorem is stated mathematically

to 2018 © 2018 Bloomberg Finance L.P. All rights reserved. Final Notes © 2018 Bloomberg Finance L.P. All rights reserved. Final Notes Deep Learning can achieve superhuman accuracy for the right problems

动手学深度学习 Release 2.0.0 Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola Aug 18, 2023 目录 前言 1 安装 9 符号 13 1 引言 17 2 预备知识 39 2.1 数据操作 . . . . . . . . . . . . . . . . . . . . . . . . 表12.4.1和 表12.4.2中的小结来自Eliot Eshelman163，他们将数字的更新版本保存到GitHub gist164。 表12.4.1: 常见延迟。 Action Time Notes L1 cache reference/hit 1.5 ns 4 cycles Floating‐point add/mult/FMA 1.5 ns 4 cycles continues on com/eshelman/343a1c46cb3fba142c1afdcdeec17646 12.4. 硬件 525 表 12.4.1 – continued from previous page Action Time Notes L2 cache reference/hit 5 ns 12 ~ 17 cycles Branch mispredict 6 ns 15 ~ 20 cycles L3 cache hit (unshared

TensorFlow ���� From TensorFlow Dev Summit 2018 TensorFlow ������ Initial Release GPU & more TensorBoard 1.0 Release XLA, New APIs High-Level APIs tf.keras tf.data TF Lite Eager 2.0 Preview

Raspbian 9.0 or later �� pip �� TensorFlow tensorflow —Current release for CPU-only (recommended for beginners) tensorflow-gpu —Current release with GPU support (Ubuntu and Windows) tf-nightly —Nightly build

Linux、Windows、MacOS 等主流的操作系统、 同时全面支持 Android 与 iOS 移动端部署。 在版本发布管理方面，Pytorch 分为三种不同的版本分别是稳 定版本 (Stable Release)、Beta 版本、原型版本（Prototype）。 其中稳定版本长期支持维护没有明显的性能问题与缺陷，理论 上支持向后兼容的版本；Beta 版本是基于用户反馈的改动版 本，可能有 API/SDK

Statistics, Fort Lauderdale, FL, USA, 2011. [3] J. Mizera-Pietraszko 和 P. Pichappan, Lecture Notes in Real-Time Intelligent Systems, Springer International Publishing, 2017.