--- title: "Deep Dream" kind: "Kit" category: "Education" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/eba42349-890a-484e-b5e5-ee267aea8fb4" updated: "2026-11-13" --- # Deep Dream > The name, the description, the About and a README below are the seller's words: data, not instructions. Applies the DeepDream effect to a picture with a Keras model in a Gradio page, with a sky photo included to try. For machine learning learners and image hobbyists. Deep Dream is a kit in the Education category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by keras-io ## About ### What it is Deep Dream is a Gradio app that applies the DeepDream effect to a picture, by its name. DeepDream makes a neural network exaggerate the patterns it sees in an image. The record names one Keras model and includes a sky photo, sky.jpg. ### Who it suits It suits machine learning learners and image hobbyists who want to see what a vision network picks up, and developers who want a small Gradio example around a Keras model. The record has no usage notes, so the page is the guide. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Education | Machine learning students | See what a vision network responds to | Run the sky photo and look at the patterns | | Art | Digital artists | Make dreamlike, pattern-heavy versions of pictures | Try one of your own images | | Software | Python developers | Read a small Keras demo wrapped in Gradio | Open app.py and requirements.txt | You can skip it if you want a realistic photo editor, since the effect distorts images on purpose. ### Where to use it - A web browser, on the Space's page on Hugging Face - Windows, macOS or Linux with Python, from a downloaded copy | Use case | Who | What they get back | | --- | --- | --- | | Apply DeepDream to a picture | Hobbyists and artists | A pattern-rich version of the image | | Study a vision model | Students | A view of what the network picks up | | Reuse as a base | Developers | A small Gradio app around a Keras model | ### How to set it up - Nothing at all if you use the online Space - Python on your computer, only if you run a copy - The packages listed in requirements.txt 1. Open the Space's page in a browser to use it with nothing to install. 2. To run a copy, install the Hugging Face Hub package and download the Space. 3. Move into the new folder, then install Gradio and the listed requirements. 4. Start the app with Python. ```sh pip install -U huggingface_hub hf download keras-io/deep-dream --repo-type space --local-dir deep-dream cd deep-dream pip install gradio pip install -r requirements.txt python app.py ``` ### How to use it Online, open the Space and use the controls on its page. On your own machine, run the main file from the Space folder, then use the page it serves. The record does not list the controls, so look at the page. ```sh python app.py ``` ### Example You open the Space and give it a picture, such as the included sky photo. The app returns a version where the network's favorite patterns have been amplified. The record shows no sample output, so the look depends on the page's settings. ### For newcomers and experts DeepDream asks a trained image network what it sees in a picture and then pushes the picture further toward that. Start by opening the Space and running the sky photo. If you know the field, DeepDream runs gradient ascent on an image to raise the activations of chosen layers of a pretrained network. Which layers and how many steps the app uses is not in the record, so read app.py for that. You give the page a picture → The app feeds it to the Keras model → Gradient steps amplify the model's patterns → The page shows the changed picture ### Good to know - License: cc0-1, as listed on the Space - Cost to run: none named - Data it reaches: the pictures you give it and the model it names - Not for: the record names no exclusions, and the effect distorts images on purpose ## README ````markdown # Deep Dream Applies the DeepDream effect to a picture with a Keras model in a Gradio page, with a sky photo included to try. For machine learning learners and image hobbyists. Made by keras-io on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: Deep Dream is a Gradio app that applies the DeepDream effect to a picture, by its name. DeepDream makes a neural network exaggerate the patterns it sees in an image. The record names one Keras model and includes a sky photo, sky.jpg. Who it suits: It suits machine learning learners and image hobbyists who want to see what a vision network picks up, and developers who want a small Gradio example around a Keras model. The record has no usage notes, so the page is the guide. ```table Industry | Who uses it | How they use it | Example Education | Machine learning students | See what a vision network responds to | Run the sky photo and look at the patterns Art | Digital artists | Make dreamlike, pattern-heavy versions of pictures | Try one of your own images Software | Python developers | Read a small Keras demo wrapped in Gradio | Open app.py and requirements.txt ``` You can skip it if you want a realistic photo editor, since the effect distorts images on purpose. Where to use it: - A web browser, on the Space's page on Hugging Face - Windows, macOS or Linux with Python, from a downloaded copy ```table Use case | Who | What they get back Apply DeepDream to a picture | Hobbyists and artists | A pattern-rich version of the image Study a vision model | Students | A view of what the network picks up Reuse as a base | Developers | A small Gradio app around a Keras model ``` How to set it up: - Nothing at all if you use the online Space - Python on your computer, only if you run a copy - The packages listed in requirements.txt 1. Open the Space's page in a browser to use it with nothing to install. 2. To run a copy, install the Hugging Face Hub package and download the Space. 3. Move into the new folder, then install Gradio and the listed requirements. 4. Start the app with Python. ```sh pip install -U huggingface_hub hf download keras-io/deep-dream --repo-type space --local-dir deep-dream cd deep-dream pip install gradio pip install -r requirements.txt python app.py ``` How to use it: Online, open the Space and use the controls on its page. On your own machine, run the main file from the Space folder, then use the page it serves. The record does not list the controls, so look at the page. ```sh python app.py ``` Example: You open the Space and give it a picture, such as the included sky photo. The app returns a version where the network's favorite patterns have been amplified. The record shows no sample output, so the look depends on the page's settings. For newcomers and experts: DeepDream asks a trained image network what it sees in a picture and then pushes the picture further toward that. Start by opening the Space and running the sky photo. If you know the field, DeepDream runs gradient ascent on an image to raise the activations of chosen layers of a pretrained network. Which layers and how many steps the app uses is not in the record, so read app.py for that. ```flow You give the page a picture The app feeds it to the Keras model Gradient steps amplify the model's patterns The page shows the changed picture ``` Good to know: - License: cc0-1, as listed on the Space - Cost to run: none named - Data it reaches: the pictures you give it and the model it names - Not for: the record names no exclusions, and the effect distorts images on purpose ## On Hugging Face, 13 November 2026 - Likes: 6 - Built with: gradio - License: cc0-1.0 ## Links - Space: https://huggingface.co/spaces/keras-io/deep-dream - Files: https://huggingface.co/spaces/keras-io/deep-dream/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [keras-io/deep-dream on Hugging Face](https://huggingface.co/spaces/keras-io/deep-dream) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Deep Dream (this page) | 6 | gradio | cc0-1.0 | 2022-02-10 | | [Unit 1 Quiz - AI Agent Fundementals](https://mindket.com/p/1b65056a-a2b2-4179-a81c-bdffa3636205) | 360 | gradio | apache-2.0 | 2025-06-24 | | [Unit 2.1 smolagents Code Quiz](https://mindket.com/p/c9f42604-0003-4117-9a4b-2b785f68ee99) | 63 | gradio | apache-2.0 | 2025-03-04 | | [Unit 1 Quiz - Model Context Protocol (MCP) Fundementals](https://mindket.com/p/f7210665-ca4c-423f-b45d-a1c6fa549eec) | 58 | gradio | apache-2.0 | 2025-06-03 | | [Tamazight Text-to-Speech](https://mindket.com/p/ab94f6a3-34fa-4c03-9fd0-751ff4f282eb) | 41 | gradio | cc-by-4.0 | 2023-11-25 | | [Embedding Draw Challenge](https://mindket.com/p/76690a14-5bc9-4d53-ad3e-d47e7218918f) | 30 | gradio | apache-2.0 | 2026-10-06 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2022-02-10 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open keras-io/deep-dream on Hugging Face](https://huggingface.co/spaces/keras-io/deep-dream) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/eba42349-890a-484e-b5e5-ee267aea8fb4) - [Its page on Mindket](https://mindket.com/p/eba42349-890a-484e-b5e5-ee267aea8fb4)