《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
In this course we implement the most popular Machine Learning algorithms from scratch using only Python and NumPy.
We then used OpenAI's Gym in python to provide us with a related environment, where we can develop our agent and evaluate it. Then we observed how terrible our agent was without using any algorithm to play the game, so we went ahead to implement the Q-learning algorithm from scratch. ...
《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.
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...
Theconceptsections introduce the methods conceptually and derive their results mathematically. Theconstructionsections show how to construct the methods from scratch using Python. Theimplementationsections demonstrate how to apply the methods using packages in Python like scikit-learn, statsmodels, and ...
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...
Show you the toolbox: A wide variety of topics to show you what’s in the Python ecosystem that can help your project, from debugging to deployment Working code: 308 Python (.py) code files included Bonus: A free NumPy cheat sheet in PDF format enclosed! Show You the Bigger Picture in...
In this tutorial you are going to learn about the k-Nearest Neighbors algorithm including how it works and how to implement it from scratch in Python (without libraries). A simple but powerful approach for making predictions is to use the most similar historical examples to the new data. This...
While Python coding can be used to create many amazing things, games are some of the most engaging and fun ways for kids to learn how to code with Python.