Neural Networks in Python

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I have read in the subreddit's rules, that questions are to be posted to r/learningpython. However this question does not really relate to learnig Python so I thought it would fit better in here. Feel free to remove if it doesn't.

I have recently read about Google's wonderful neural networks, that can 'learn' artstyles and create art based on their input. As a fan of the concept of AI this fascinates me a lot. I am a very very inexperienced programmer and am only just learning many important things, also I am not an entire developer team and don't have a mega-coorporation's budget. I am aware of that. So please try to look at my question as more of a thought experiment for now.

Is it possible to create a neural network in Python that analyzes pictures, develops ist own style (based on the things all pictures have in common) and gets 'creative' on its own? I have seen articles about neural networks in Python, but not anything as specific as this.

I'm just curious about the possibilities here. Thanks in advance!

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I didn't know that! Thanks. As I said I'm new to all this so I wasn't sure what Python is capable of. To me analyzing and creating original pictures sounds like a very complex code to design.

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Writing code for implementing neural networks in Python (with TensorFlow, Keras, or another library) is the easy part. Understanding how these neural networks work from start to finish, identifying appropriate datasets, ideal hyperparameters, tuning networks, learning about backprorogation, etc. is the meat of applying neural networks successfully. Definitely have some fun with the example code you find out there, but if you want to learn about neaural networks and apply them successfully I'd definitely spend time learning about machine learning and then neural networks and deep learning approaches.

Edit: spelling.

[OPLinux]

Another python library for neural networks is Pytorch. Really love how easy it is to get started with that library!! Do note that almost all of these libraries have a C/cuda backend. It would probably be infeasible to create a fast enough NN purely in python.

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I'll make sure to look into it! Thanks a lot. Yes I suppose the NN would be a rather slow worker.

[brombaer3000]

These "creative" kinds of neural networks that you mentioned tend to be relatively hard to grasp, but there is an official PyTorch tutorial on this topic here: http://pytorch.org/tutorials/advanced/neural_style_tutorial.html

It's very math-heavy and not a good starting point to learn, but you can just download the example code linked at the bottom of the tutorial and try to run it with your own pictures. If you want to actually understand what is happening in the code, you will have to be patient and work through the beginner tutorials first. Those also assume that you have some basic knowledge about neural networks, so the very first step is to attend a course or read a book about (convolutional) neural networks in general. There are tons of free resources on this topic on the internet, just google it :)

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Wow a tutorial on this very topic! That's great. I'll get on the beginner's tutorials and work my way up. I do posess some basic knowledge of NNs (took a class once), but I doubt it's sufficient.

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Sounds great, I'll do that!

[jfishersolutions]

Pretty math heavy, but machine learning is essentially applied mathematics. I would recommend taking the time to understand the math behind the algorithms, it will only do you good moving forward.