Free PDF Neural Network Programming with Python: Create your own neural network!, by Max Sharp
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Neural Network Programming with Python: Create your own neural network!, by Max Sharp
Free PDF Neural Network Programming with Python: Create your own neural network!, by Max Sharp
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This book is a guide on how to implement a neural network in the Python programming language. It begins by giving you a brief overview of neural networks so as to know what they are, where they are used, and how they are implemented. The next step is an exploration of the backpropagation algorithm. This is the algorithm behind the functionality of neural networks, and it involves a forward and backward pass. Numby is a Python library which can be used for the purpose of implementation of a neural network. This library is discussed in this book, and you are guided on how to use it for that purpose. The functionality of neural networks has to be improved. The various ways to improve how a neural network works is also explored. You are then guided on how to implement neural networks with Neupy, another Python library.
The following topics are discussed in this book:
- A Brief Overview of Neural Networks
- Backpropagation Algorithm
- Neural Networks with Numpy
- Improving a Neural Network in Python
- Neupy
- Models in Neural Networks
- Sales Rank: #546894 in eBooks
- Published on: 2016-10-04
- Released on: 2016-10-04
- Format: Kindle eBook
Most helpful customer reviews
0 of 0 people found the following review helpful.
Do not waste your money on this book.
By John C Gibson
I had high hopes for this book, but I didn't do my due diligence. Neural Networks are complicated structures and algorythms, and if you know nothing going into it, you will be lost. This book has exactly ONE diagram in the entire book. In the interests of professionalism in computer book publishing, the author and/or editors should be ostracized for both making the text easier to read. Code examples in a giant font and bolded, I hate looking at the pages. The initial explanations are terrible, with little or no background before jumping into practice. "Ok, now define the sigmoid function this way....". Huh? Why? What am I doing here? I have some background understanding of neural nets and I'm still lost and confused. This booklet (barely 92 pages) actually reads like someone's notes from a college course on neural nets that were just dumped j to a word doc and published. ☹️
0 of 0 people found the following review helpful.
Great and helpful..!!!
By Chrich**
Excellent book. I like this. This book totally great. our aim is to feed input at the input layer, and then wait for the output at the output layer, and determine the amount of error in the network, This should result in adjusting of the weights. I highly recommend this. By the way, I have enjoyed this.
1 of 2 people found the following review helpful.
It's an excellent read for beginners on the topic and guides you ...
By Isaac Moguel Cruz
This book promises to be a short guide on how to implement a neural network with Python. It's an excellent read for beginners on the topic and guides you by the hand so that you don't feel like there's any rough spots along the way. Of course, it won't cover everything, but it's a great way to start.
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