Skip to content

jay-jpj/DeepDreamer

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 

Repository files navigation

DeepDream Image Generation

This notebook explores the fascinating world of DeepDream image generation and transformation using TensorFlow.

Overview

DeepDream is a visualization technique that uses pre-trained neural networks to create dream-like images by amplifying patterns and features within an input image. This folder contains Python code for implementing the DeepDream algorithm and examples of surreal image visualizations.

Features

  • Image generation and transformation with DeepDream.
  • Applying DeepDream to explore abstract and artistic visualizations.
  • Experiment with different pre-trained models and layers to achieve unique effects.
  • Demonstrations using convolutional neural networks in TensorFlow.
  • Visualize the activations and patterns learned by neural networks.
  • Create mesmerizing and abstract artwork with ease.

Disclaimer

The DeepDream algorithm can produce unpredictable and surreal visualizations.

Original Image

Image 0

Results

Image 1 Image 2 Image 3 Image 4

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published