Have you ever thought what the world would look like if it was made out of Cheetos? Now you can. The popular snack is inviting their fans, and anyone else with…
Overview
The article discusses how Cheetos is using Artificial Intelligence to transform photos into Cheetos-themed images through an app called 'Cheetos Vision'. Developed by Goodby Silverstein & Partners, the app utilizes deep learning and style transfer algorithms, specifically leveraging NVIDIA's technology.
What You'll Learn
1
How to use deep learning for image style transfer
2
Why Cheetos Vision enhances user engagement through creative photo manipulation
3
When to apply convolutional neural networks for image processing tasks
Prerequisites & Requirements
- Basic understanding of deep learning concepts(optional)
- Access to an NVIDIA GeForce GTX 1080 GPU
- Familiarity with TensorFlow framework(optional)
Key Questions Answered
How does the Cheetos Vision app transform photos?
The Cheetos Vision app uses a style transfer algorithm based on deep learning to apply a unique Cheetos style to photos and videos. Developed by Goodby Silverstein & Partners, it leverages a convolutional neural network trained on Cheetos images, allowing users to see their world in a fun, snack-themed way.
What technology powers the Cheetos Vision app?
The Cheetos Vision app is powered by an NVIDIA GeForce GTX 1080 GPU and uses the cuDNN-accelerated TensorFlow deep learning framework. This combination allows for efficient processing and application of the style transfer algorithm to images and videos.
When was the Cheetos Vision app launched?
The Cheetos Vision app was launched during the SXSW conference in Austin, which took place last week. This timing was strategic to attract attention from attendees and enhance brand engagement.
Technologies & Tools
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Hardware
Nvidia Geforce Gtx 1080
Used to power the deep learning processes for the Cheetos Vision app.
Software
Tensorflow
The deep learning framework used to implement the style transfer algorithm.
Key Actionable Insights
1Consider leveraging style transfer algorithms in your own applications to enhance user engagement.Using creative techniques like style transfer can make applications more appealing and interactive, similar to how Cheetos Vision engages users by transforming their photos.
2Utilize NVIDIA GPUs for deep learning projects to improve performance and efficiency.The use of powerful hardware like the NVIDIA GeForce GTX 1080 is crucial for training complex models, especially in applications requiring real-time processing like image manipulation.
3Explore the potential of mobile applications in marketing campaigns.The launch of the Cheetos Vision app at a major event like SXSW illustrates how innovative mobile solutions can create buzz and increase brand visibility.