Python learning memo for machine learning by Chainer Chapters 1 and 2

What This is an article that summarizes what I noticed and researched when learning machine learning using Chainer. It is written based on my understanding, so it may be incorrect. I will correct any mistakes.

Content

1. Introduction Notes on

Jupiter Notebook It looks like the original development environment. It is provided by Google Colaboratory, one of the cloud services. It seems to work on the browser.

runtime

It refers to the timing of executing the program. Here, it seems to show the elapsed time from the execution of the program.

2. Notes on getting started with Python

division

The return value will always be a float type Multiplication is possible for string type. Repeated output

Comparison operator

The return value is bool type exa. Type (1 <2) => true

Escape sequence

Line break \ n, tab \ t * Valid for print () function

String conversion method

There is a method to uppercase or lowercase. Variable str can be converted with str.upper (), str.lower ()

String insertion method

There is a method that allows you to insert a string into a string. .format ()

List (array)

There is a way to refer from the end instead of the beginning, the last specifies [-1] for the index, returns [-2], [-3] Apparently there are a lot of features related to this list, so I will turn it next time

Recommended Posts

Python learning memo for machine learning by Chainer Chapters 1 and 2
Python learning memo for machine learning by Chainer from Chapter 2
Python learning memo for machine learning by Chainer Chapter 7 Regression analysis
Python learning memo for machine learning by Chainer Chapter 8 Introduction to Numpy
Python learning memo for machine learning by Chainer Chapter 10 Introduction to Cupy
Python learning memo for machine learning by Chainer Chapter 9 Introduction to scikit-learn
Python learning memo for machine learning by Chainer Chapter 13 Neural network training ~ Chainer completed
Python learning memo for machine learning by Chainer Chapter 13 Basics of neural networks
Python learning memo for machine learning by Chainer until the end of Chapter 2
Python learning notes for machine learning with Chainer Chapters 11 and 12 Introduction to Pandas Matplotlib
Python & Machine Learning Study Memo ④: Machine Learning by Backpropagation
Memo for building a machine learning environment using Python
Machine learning summary by Python beginners
<For beginners> python library <For machine learning>
Interval scheduling learning memo ~ by python ~
"Scraping & machine learning with Python" Learning memo
Python & Machine Learning Study Memo: Environment Preparation
[Learning memo] Basics of class by python
Amplify images for machine learning with python
Why Python is chosen for machine learning
[Shakyo] Encounter with Python for machine learning
Python data structure and operation (Python learning memo ③)
[Python] Web application design for machine learning
Python and machine learning environment construction (macOS)
[Memo] Machine learning
An introduction to Python for machine learning
Python & Machine Learning Study Memo ③: Neural Network
Python & Machine Learning Study Memo ⑥: Number Recognition
Chainer and deep learning learned by function approximation
Python & Machine Learning Study Memo ⑤: Classification of irises
Upgrade the Azure Machine Learning SDK for Python
Python & Machine Learning Study Memo ②: Introduction of Library
[Python] Collect images with Icrawler for machine learning [1000 images]
PDF files and sites useful for learning Python 3
A memo for creating a python environment by a beginner
Python & Machine Learning Study Memo ⑦: Stock Price Forecast
Python class (Python learning memo ⑦)
Python module (Python learning memo ④)
Visualization memo by Python
Machine learning course memo
Machine Learning with docker (40) with anaconda (40) "Hands-On Data Science and Python Machine Learning" By Frank Kane
Image collection Python script for creating datasets for machine learning
Build an interactive environment for machine learning in Python
"Deep Learning from scratch 2" Self-study memo (No. 21) Chapters 3 and 4
Preparing to start "Python machine learning programming" (for macOS)
[Python] I made a classifier for irises [Machine learning]
Set up python and machine learning libraries on Ubuntu
Data set for machine learning
Japanese preprocessing for machine learning
Python exception handling (Python learning memo ⑥)
Learning flow for Python beginners
Python learning plan for AI learning
Python and ruby slice memo
Machine learning with Python! Preparation
Python code memo for yourself
Practical machine learning system memo
Chainer, RNN and machine translation
Python Machine Learning Programming> Keywords
Machine learning and mathematical optimization
Checkio's recommendation for learning Python
Beginning with Python machine learning