Create you first neural networks in python – a hands on guide for beginners
being able to create your own neural networks in python
train and evalute your neural network
make predictions with your model
being able to leverage scikit learn in combination with keras
create convolutional neural networks for image recognition
Machine Learning and neural networks are one of the hottest topics in this century – for good reasons. There are a lot of interested people out there but many do not know where to start. The difficult question basically is how to start actually learning it?
Especially beginners might get discouraged because of statistics and math which is an integral part of machine learning. None the less you do not need to be a math expert to apply machine learning. This is my third course to show you why.
Instead of telling you all the statistics and math behind the neural networks i prefer to give you a much more hands on approach. At the end of the day there’s only one thing that really counts – THE RESULT. I believe in a practical approach. That’s why the course is developed to encourage you to follow along and write the code yourself. At the end you can see your result.
By joining this course you can leverage the knowledge you acquired from my first two courses (Machine Learning for Beginners and machine learning for beginners – deep dive) and get the chance to dive into theworld of neural networks. Again this course is not for students who like to learn theory. Those should rather turn to a university professor or wikipedia.
But if you want to actually practise machine learning and neural networks and learn how to write and improve your own algorithms then this beginner’s course is the right way to continue your learning journey!
I wish you all the best, enjoy the course, get your hands dirty and start coding!
See you in the first lecture
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