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# Neural Networks Fundamentals with Python
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Repository holding the code for the NNFwP series of blog articles available [here](https://mathspp.com/blog/tag:nnfwp).
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Repository holding the code for the “Neural Networks Fundamentals with Python” book available [here](https://gum.co/nnfwp).
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---
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Ever wondered what a neural network really is, how it works or how to implement one?
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Well, I did, and that is why I tried implementing one.
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And I failed.
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Some years later, I tried again, and it worked!
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And it was amazing!
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Now, I just want to help _you_ do it yourself, so that you can take a peek
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behind the curtains of this world of machine learning, deep learning,
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and all those buzzwords.
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In this short book, I will take you through the journey of implementing a neural network
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from scratch, and then we will use these networks _you_ created to perform
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machine learning tasks.
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We will also play around with them and so all sorts of really interesting machine learning
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and deep learning experiments.
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The book explains you the things that are needed, step-by-step,
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and gives you a reference implementation that you can find in this repo.
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By the time you are done with the book, you will have at your disposal
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a simple neural network framework that actually works, and that you have already
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used to explore interesting concepts from the worlds of machine learning and
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deep learning.
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By the way, if you are unsure whether or not this book is for you,
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you can always read its chapters for free [on my blog](https://mathspp.com/blog/tag:nnfwp).
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To make sure you have all dependencies installed (which should be only NumPy, really)
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be sure to check you meet the requirements set in the [requirements file](./requirements.txt).

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