Learning in Python: Learn Data Science and Improve backpropagation with modern techniques - momentum, adaptive learning rate, and regularization

Learning in Python: Learn Data Science and Improve backpropagation with modern techniques – momentum, adaptive learning rate, and regularization
by Brendon Alfred
Length: 65 pages
Edition 版本: 1
Language 语言: English
Publication Date 出版日期: 2022
ISBN-10: B09VZ3YWQB
Book Description
Learning in Python
Learn Data Science and Improve backpropagation with modern techniques – momentum, adaptive learning rate, and regularization
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small- and large-scale projects.
Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis. Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn’t specialized for any specific problems.
The python language is one of the most accessible programming languages available because it has simplified syntax and is not complicated, which gives more emphasis on natural language. Due to its ease of learning and usage, python codes can be easily written and executed much faster than other programming languages.