Make Your Own Neural Network #2020

Make Your Own Neural Network By Tariq Rashid Make Your Own Neural Network A gentle journey through the mathematics of neural networks and making your own using the Python computer language Neural networks are a key element of deep learning and artificial intelligence whic
  • Title: Make Your Own Neural Network
  • Author: Tariq Rashid
  • ISBN: -
  • Page: 102
  • Format: Kindle Edition
  • Make Your Own Neural Network By Tariq Rashid A gentle journey through the mathematics of neural networks, and making your own using the Python computer language Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats Yet too few really understand how neural networks actually work This guide will take you on a fun and unhurried journey, sA gentle journey through the mathematics of neural networks, and making your own using the Python computer language Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats Yet too few really understand how neural networks actually work This guide will take you on a fun and unhurried journey, starting from very simple ideas, and gradually building up an understanding of how neural networks work You won t need any mathematics beyond secondary school, and an accessible introduction to calculus is also included The ambition of this guide is to make neural networks as accessible as possible to as many readers as possible there are enough texts for advanced readers already You ll learn to code in Python and make your own neural network, teaching it to recognise human handwritten numbers, and performing as well as professionally developed networks Part 1 is about ideas We introduce the mathematical ideas underlying the neural networks, gently with lots of illustrations and examples Part 2 is practical We introduce the popular and easy to learn Python programming language, and gradually builds up a neural network which can learn to recognise human handwritten numbers, easily getting it to perform as well as networks made by professionals Part 3 extends these ideas further We push the performance of our neural network to an industry leading 98% using only simple ideas and code, test the network on your own handwriting, take a privileged peek inside the mysterious mind of a neural network, and even get it all working on a Raspberry Pi All the code in this has been tested to work on a Raspberry Pi Zero.
    Make Your Own Neural Network By Tariq Rashid
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      Tariq Rashid

    About "Tariq Rashid"

    1. Tariq Rashid

      Tariq Rashid Is a well-known author, some of his books are a fascination for readers like in the Make Your Own Neural Network book, this is one of the most wanted Tariq Rashid author readers around the world.

    309 thoughts on “Make Your Own Neural Network”

    1. A nice and short introduction to the fundamentals of Neural Networks The writing is clear and the content is easy to grasp for a beginner There were a few issues with typos and formatting, but overall , I had a good time with this short book.


    2. This was a very gentle step by step walkthrough of building a neural net using python for recognizing handwritten numbers While I recommend following along in code for this type of book one third is code based even if you are a commute reader, you will get a lot out of this.After reading this carefully you will most likely be able to converse and talk about neural nets from an implementation point of view with other engineers The tone is approachable, and despite the subject, the book is actuall [...]


    3. This is a great little book Details how to build a working neural network in simple Python, building up intuition from scratch If you ve studied Neural Nets, this won t be new but if you ve never seen the material before, this might be the best place to start Very good treatment of the subject.


    4. Refreshing to read a difficult concept explained in such an easy to understand way Not once did I have to Google a concept since everything you need to know is provided Sure, there were some typos and other problems with this book For instance, he put the calculus for gradient descent in the appendix while dedicating a section to matrix multiplication which is appropriate for the appendix since readers are likely to know matrices than integral calculus Still, this book deserves five stars It w [...]


    5. Wana know the basic theory and background of neural networks and deep learning with absolutely no background in CS well look no further than this book Tariq really outdone himself on presenting a complex subject in simple math and English even high school students can read and understand He went straight for what neural networks are and what domain they dominate But if you have any CS or programming background you will skim this book within hours and get all the basics straight Well for me I wou [...]


    6. The best book on the planet for absolute beginners I have implemented F Neural Network for MNIST database github oleksandr bilyk MaWhen training process uses epochs and other tips then recognition score is above 97% Source code uses Math matrix calculus.All neural network ideas are from Make Your Own Neural Network book with Python source code book show 2I have decorate implemented it using lovely functional F and other Framework stuff.First neural networks were implemented on functional languag [...]


    7. Great intro into neural networksThe author laid out his plan to teach the basics in a hands on approach The progression through the material was smooth and easy too make progress A motivated, advanced middle school student could work thru the concepts and code with perhaps a little help if he she gets stuck Excellent material for a science fair project Extending the code to save the machine learning so that it can be read in instead of relearned would be useful Also automating the image ingestio [...]


    8. Excellent Introduction to Artificial Neural NetworksHighly recommend this book The author makes the ANN concepts very clear and easy to follow Readers should try to duplicate the book examples to get the maximum benefit from this book I duplicated the MNIST demonstrations using a Raspberry PiI 3 and can positively state they all work as shown My results were identical to those discussed by the author.Again, highly recommended.


    9. The book itself can be painful to work through, as it is written for a novice, not just in algorithms and data analysis, but also in programming For the neural network aspect, it jumped between overly simplistic and complicated, while providing neither in enough detail That said, by the end I found it a worthwhile dive into neural networks, since once it got to the programming structure, it all made sense, but only because I stuck with it.


    10. Good introduction to Neural Networks The Python section is nice, although someone that had never seen python before might struggle a bit Concepts were well explained for non tech backgrounds and it was a fast read Leaves you with a decent understanding of the basics of a neural network Would recommend it.


    11. I don t know how to program, however the theory behind neural networks fascinates me Creating algorithms which mimmic certain processes of the mind is a powerful idea, one which is playing a significant role in increasing the reach of the human species.


    12. Greate book in a weird formatThis book is a great starting point to study neural network, but the format of this book limited the way people can enjoy this book no kindle e reader for you


    13. Beginners Guide to Neural NetworksI have some hands on experience with neural networks but don t understand them as well as I would like This book definitely helped to improve my understanding.


    14. Wonderful super easy to follow way to understand how Neural Nets workA very light way to introduce yourself to the fundamental practical understanding of why Neural Nets work without jargons A big bonus is the layman overview of what Calculus is for non technical people.


    15. Amazingly clear and good kickoff for someome who just gets started with neural networksThis book is a great example of careful and thoughtful technical writing Thanks for the author for putting this much thought in creating a comprehensive guide on this subject.


    16. Very practical way to learn about neural networksThis is a wonderful book I especially like the idea of using a Raspberry pi This is a gentle and practical introduction to neural networks The example of image recognition is fun and engaging.


    17. A very good and simple step by step development of Neural Network, covers basic theory behind it and also implementation A quick read, recommended for people starting with Neural Networks.




    18. Nice Explanation of Neural NetworksFor someone who wants to learn from the beginning what a neural network is, and how it does what it does, this book is a very good read.



    19. Nice Really good introduction to neural networks Calculations are easy to follow and the ideas are clearly shown One doesn t need to be an expert mathematician to understand it.


    20. I like it.The book is very easily to read for me, a Chinese programmer It helps us quickly understand neural network and open a door for machine learning I like to read it.




    21. Excellent book I have walked through a few machine learning tutorials, which I felt I didn t learn anything I was just duplicating code and read things like now you built your own neural network After reading this book, I feel as if I really do understand how it works Soon I will be revisiting all those machine learning tutorials with this new understanding, so I can master the subject


    22. Excellent bookGreat book Explanation, examples, and tutorials are very detailed and exactly what is needed Book also has a lot of pictures to help better understand the topics


    23. Excellent introThe intro to neural nets was brilliant, and explains very well WHY we build these the way we do Math was just difficult enough Get like learning calculus again, with the logical progression from one idea to the next Looking forward to jumping into some advanced topics from this book.


    24. It took me several weeks and some reviews to high school algebra to finish this book It is a short introduction to artificial neural network ANN , the basic mathematic problems behind it and how to create a simple ANN to recognize hand writing based on provided internet dataset.


    25. Awesome introduction to neural networks I think it achieved its purpose on me by firstly demystifying the concept and then making me interested in following the topic further.


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