What is this?
This is the original Google Research notebook demonstrating DeepDream, a technique for generating surreal 'neural network art' by amplifying the patterns a trained neural network detects in an image.
This is the original Google Research notebook demonstrating DeepDream, a technique for generating surreal 'neural network art' by amplifying the patterns a trained neural network detects in an image.Is this a packaged library or just sample code?It is a single IPython/Jupyter notebook (dream.ipynb) with sample code, not a packaged library or application.
It is a single IPython/Jupyter notebook (dream.ipynb) with sample code, not a packaged library or application.How do I run it?You can view dream.ipynb directly on GitHub without running anything, or clone the repository, install the dependencies listed inside the notebook, and run it locally.
You can view dream.ipynb directly on GitHub without running anything, or clone the repository, install the dependencies listed inside the notebook, and run it locally.What do I need installed before I can run the notebook?The notebook itself lists the specific packages (a Python/Jupyter environment plus the deep learning stack it uses) you need to install — they are not spelled out separately in the README.
The notebook itself lists the specific packages (a Python/Jupyter environment plus the deep learning stack it uses) you need to install — they are not spelled out separately in the README.Is this still maintained?No, the repository is archived on GitHub, so it is a frozen snapshot of the 2015 DeepDream research code rather than an actively developed project.
No, the repository is archived on GitHub, so it is a frozen snapshot of the 2015 DeepDream research code rather than an actively developed project.Can I share the images I make with this?Yes, the README encourages posting generated images to Google+, Facebook, or Twitter tagged with #deepdream so other researchers can find them.
Yes, the README encourages posting generated images to Google+, Facebook, or Twitter tagged with #deepdream so other researchers can find them.Where can I see more example DeepDream images?The README links to an original gallery accompanying the Google Research blog post with additional example outputs from the technique.
The README links to an original gallery accompanying the Google Research blog post with additional example outputs from the technique.What are similar projects?DeOldify, latent-diffusion, shap-e, ControlNet, style2paints, awesome-deep-vision, cs231n.github.io, PyTorch-GAN
DeOldify, latent-diffusion, shap-e, ControlNet, style2paints, awesome-deep-vision, cs231n.github.io, PyTorch-GANWhich topics is it in?generative, generative-art, neural-network, jupyter notebook, academic-research, image-generation, image-processing, artificial-intelligence, generative-ai, deprecated, computer-vision, tutorial
generative, generative-art, neural-network, jupyter notebook, academic-research, image-generation, image-processing, artificial-intelligence, generative-ai, deprecated, computer-vision, tutorial