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N from this bookA deep understanding of how a Neural Network worksHow to build a Neural Network from scratch using PythonWho this book is forBeginners who want to fully unders. This makes a great intro to learning about Python machine learning and neural networks It is written in a very easy to read and understandable way that even I could understandI m a complete beginner to programming and computer mechanics but am starting to learn and and am really interested in the field I found this book super helpful it cleared up all my uestions and explained everything in such a clear simple fashionSome of the maths and stuff on gradients I found pretty confusing at first but after reading it through a couple of times I ve now got the hang of themIf you ve just started out using Python and want to learn about the maths behind neural networking then I d strongly recommend this guide It definitely helped me

### Read Machine Learning with Neural Networks: An In-depth Visual Introduction with Python: Make Your Own Neural Network in Python: A Simple Guide on Machine Learning with Neural Networks.

Tand how networks work and learn to build two step by step examples in PythonProgrammers who need an easy to read but solid refresher on the math of neural networksWhats Insid. Excellent book to start with Clearly explained even the math with easy to follow diagrams

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Make Your Own Neural Network in PythonA step by step visual journey through the mathematics of neural networks and making your own using Python and TensorflowWhat you will gai. Author Michael Taylor offers no biographical information to provide a reference for his expertise in writing this book but begin reading and absorbing this well illustrated manual that is designed for Beginners only as Michael states This book is designed as a visual introduction to neural networks It is for BEGINNERS and those who have minimal knowledge of the topic If you already have a general understanding you might not get much out of this book and as such it is a solid starting point about a complex subjectMichael s manner of definition and explanation and teaching is easily accessible and even a pleasure to read He first defines his subject Neural networks have made a gigantic comeback in the last few decades and you likely make use of them everyday without realizing it but what exactly is a neural network What is it used for and how does it fit within the broader arena of machine learning To start we ll begin with a high level overview of machine learning and then drill down into the specifics of a neural network A neural network also known as an artificial neural network is a type of machine learning algorithm that is inspired by the biological brain It is one of many popular algorithms that is used within the world of machine learning and its goal is to solve problems in a similar way to the human brain Neural networks are part of what s called Deep Learning which is a branch of machine learning that has proved valuable for solving difficult problems such as recognizing things in images and language processing Neural networks take a different approach to problem solving than that of conventional computer programs To solve a problem conventional software uses an algorithmic approach ie the computer follows a set of instructions in order to solve a problem In contrast neural networks approach problems in a very different way by trying to mimic how neurons in the human brain work In fact they learn by example rather than being programmed to perform a specific task Technically they are composed of a large number of highly interconnected processing elements nodes that work in parallel to solve a specific problem which is similar to how the human brain works Taking us into the meat of the book Michael informs us There are many reasons why neural networks fascinate us and have captivated headlines in recent years They make web searches better organize photos and are even used in speech translation Heck they can even generate encryption At the same time they are also mysterious and mind bending how exactly do they accomplish these things What goes on inside a neural network On a high level a network learns just like we do through trial and error This is true regardless if the network is supervised unsupervised or semi supervised Once we dig a bit deeper though we discover that a handful of mathematical functions play a major role in the trial and error process It also becomes clear that a grasp of the underlying mathematics helps clarify how a network learns This is why the following chapters will be devoted to understanding the mathematics that drive a neural network To do this we will use a feedforward network as our model and follow input as it moves through the network This is an intelligent well scripted book rich in helpful diagrams that makes a topic about which most of us have little knowledge and turns that topic into fresh useable knowledge And that is a feat Grady Harp September 17

Author Michael Taylor offers no biographical information to provide a reference for his expertise in writing this book but

This is an excellent book which covers a complex topic such as Neural Networks I started reading this book with no knowledge of Neural networks but after reading it I can say that I do understand the principles of Neural Networks a second or 3rd read and I can be a probationerdeveloperresearcher yes this book is comprehensive on the theory practicals tools and processes to get anyone started off on Neural NetworksFirst of all let

This book is described as an in depth introduction to neural networks which defines neural networks describes how they work and explains how to build one While it certainly covers all these topics I found this book to be very difficult overall I do not have a background in Python or higher level math and while I could grasp the basic concepts I was honestly very lost for a good portion of the bookAt the same time I did appreciate the aut

This makes a great intro to learning about Python machine learning and neural networks It is written in a very

Fantastic reference and information Covers the basics without overwhelming your thinking process

Excellent book to start with Clearly explained even the math with easy to follow diagrams

Not loving the print and there are easily identifiable errors very early on So far I have been able to wrap my head around where the errors are and what they should actually be but it doesn't give me confidence for the rest of the book Just wis

I can do without the extra info as this book does claim to be solely for beginners but I can't forgive the awful print There are no margins there are blank pages all over it looks like someone hit PRINT on a web page If you're printing out a book for the love of god please just give it a glance before you ship it outThe contents