ARTIFICIAL NEURAL NETWORKS FUNCTIONAL CORE OF MACHINE LEARNING & AI - ARTIFICIAL INTELLIGENCE: LEARN PROGRAM ANN : NO COMPLEX FRAMEWORKS & EXTERNAL ... MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE)

This book 1 of mine, Titled: ‘ARTIFICIAL NEURAL NETWORKS FUNCTIONAL CORE OF MACHINE LEARNING & AI - ARTIFICIAL INTELLIGENCE’, the 1st among the planned series, begins literally from scratch. It covers certain important and critical aspects of SUPERVISED LEARNING ARTIFICIAL NEURAL NETWORK programming, avoiding altogether use of complex frameworks and libraries, thus covers fundamental architecture of an ANN, & detailed explanation of it's important functional elements, mathematical processes, understanding of movement of control program while ANN gets executed / implemented/ trained. For this, I have used C language for programming ANN instead of PYTHON, to serve my targeted purpose, to reveal exactly what is happening under the hood. Thus My Present BOOK 1 on learning to program ANN can be beneficial for: 1. Students: students from non Engineering and non programming Background, Students interested in AI, ML, and fundamentals of programming in general, Tech enthusiasts and hobbyists students, but the freshers, who are interested to get insights of AI and ML Any such student seeking to understand the fundamentals of AI and ML Interested to understand complex mathematical processes including Differentiation of functions in ANN Want to use this Book 1 as a foundation to learn programming different types of ANN in different computer languages like C, C++, Java, Javascript - CSS - HTML, Python, etc.. that I will be including in my future books in my planned series In general This book can be useful for individuals who: - Want to learn AI and ML from scratch - Need a step-by-step guide to programming neural networks - Are interested in the mathematical and architectural aspects of AI and ML - Interested to understand complex mathematical processes including Differentiation of functions in ANN The book's detailed explanation of fundamentals, architecture, mathematical processes including Differentiation of functions, movement of control of the Program makes it suitable for: - Beginners seeking a comprehensive introduction - Intermediate learners looking to deepen their understanding. - those inclined to know the movement of control of complex computer programs, like that in ANN.