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Learn how you can build your very first Neural Network in Python. No PhD in Maths needed. Learn via a gentle introduction.
Learn how you can build your very first Neural Network in Python. No PhD in Maths needed. Learn via a gentle introduction.
263 backers pledged £4,928 to help bring this project to life.

About this project

£4,928

263

Missed the Kickstarter?

You can still get the course at: http://pythonforengineers.com/build-your-own-neural-network-in-python/

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Fully funded! Thanks Everyone!

Stretch goals below.

What's the first thing that comes to your mind when you think of machine learning?

And you start thinking, I need a PhD in 10 different disciplines just to get started with this! 

But what if machine learning wasn't so hard? What if you could build your own Neural Network from scratch, using basic Python?

Introducing Neural Networks

Neural Networks are machine learning algorithms loosely modeled on the human brain. They are great at solving complex problems like image recognition and speech processing.

Even though Neural Networks can solve complex problems, their implementation is fairly easy, and only uses high school level maths (and if even that scares you, I will cover all the maths required with examples).

To reiterate: We will be using very little maths. The focus will be on practical stuff.

What we will go over in this eBook:

1. Theory behind Neural Networks

1. A simplified intro to the maths behind neural networks

2. A few toy examples

3. Back propagation, multiple layers and more

4. A complex example, like recognise handwritten digits

How much knowledge of Machine Learning do you need?

None.

How good do you have to be with Python?

You must know the basics. That's all. We'll be using libraries like numpy/scipy, but I will introduce them as I use them.

Why Machine Learning?

Machine Learning is one of the hottest fields today, with great job opportunities. Even non-software companies hire machine learning experts, to study things like customer behaviour, buying habits etc.

Neural Networks are a great way to get started in machine learning.

Stretch Goals:

£2500: TensorFlow and Keras

TensorFlow from Google is the newest thing all the cool kids are playing with. Someone sent me a Tweet showing it was the most popular library for learners.

Keras is a high level library that works on top of Tensorflow. Many people prefer Keras, as they don't have to worry about the low level details, yet they can use the power of Tensorflow.

£5000: More Case Studies

In the main book, we'll work through one complex example. In this goal, we will look at more real world examples of where neural networks can be used. I'm thinking at 3 practical case studies with source code.

£6500: HD Videos

I will create HD videos to go with the book.

Risks and challenges

I have written 3 books previously, 2 on Kickstarter, so am fairly confident I can deliver this book too.

Learn about accountability on Kickstarter

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    Your Own Machine Learning Project

    All of the above, plus get up support for building your own project. I will guide you by email for 6 weeks.

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Funding period

- (35 days)