《Python深度学习》(Deep Learning from Scratch),由日本O'Reilly出版社出版。该书作者斋藤康毅(Yasuhiko Saito)是一名日本知名的IT技术作家和科技评论员,曾在多家IT媒体担任专栏作家和编辑。 该书分为两部分 第一部分 介绍深度学习的基础理论和算法,包括神经网络、梯度下降、卷积神经网络等 第
这可能是最通俗易懂的深度学习入门书籍,涵盖深度学习理论的方方面面,而且所有知识点都通过Python(主要是Numpy)代码来实现,并不依赖任何现成框架。 缺点可能是理论部分不够深入,但对初学者而言,形象而直观的描述,比起枯燥的公式推导更容易入门。 书中附带的代码,有些尽管没在书中出现,但也值得逐一运行并写下自己的...
《深度学习入门:基于Python的理论与实现》电子版及配套代码。. Contribute to qiaohaoforever/DeepLearningFromScratch development by creating an account on GitHub.
Python implementations of some of the fundamental Machine Learning models and algorithms from scratch. The purpose of this project is not to produce as optimized and computationally efficient algorithms as possible but rather to present the inner workings of them in a transparent way. 从头开始机器学习...
serhanelmacioglu / Python-for-Everybody Star 5 Code Issues Pull requests In this Python repository for everybody, you will learn Python programming basics and advanced concepts from scratch. Bear in mind that all of the codes in this repository are mostly compatible with Python 3.X. pytho...
Python 3.x NumPy Matplotlib ※Python的版本为Python 3。 执行方法 前进到各章节的文件夹,执行Python命令。 $ cd ch01 $ python man.py $ cd ../ch05 $ python train_nueralnet.py 使用许可 本源代码使用MIT许可协议。 无论是否为商业行为,均可自由使用。
Course GitHub files:https://github.com/thomasnield/oreilly_machine_learning_from_scratch/ Recommended preparation: AttendPython in 5 Weeks: Python Programming for Beginners(Live online Course with Reuven Lerner) If you are new to NumPy or Pandas, consider reviewing chapters 4 “NumPy Basics: Arrays...
Bottom line: Are You Ready to Build the LXP from Scratch? Corporate training has become a new reality for almost every company that wants to stay one step ahead. If you want to be ready for the future and its unpredictable challenges, you need to equip yourself with a reliable and up-to...
预览本课程 Python Learning for Network Engineers Automation Masterclass 评分:4.5,满分 5 分4.5 (445 个评分) 20057 名学生 您将会学到 Master Python Network Automation concepts from scratch. No prior coding experience is needed Learn about Paramiko, Netmiko, NAPALM, Nornir, NETCONF, RESTCONF, YANG...
Python implementations of Machine Learning models and algorithms from scratch. Aims to cover everything from Data Mining techniques to Deep Learning. - GitHub - kvamarnath/ML-From-Scratch: Python implementations of Machine Learning models and algorithms