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Prisma VS TensorFlow

Compare Prisma VS TensorFlow and see what are their differences

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Prisma logo Prisma

Art filters using artificial intelligence to transform your photos into classic artwork.

TensorFlow logo TensorFlow

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
  • Prisma Landing page
    Landing page //
    2023-05-11
  • TensorFlow Landing page
    Landing page //
    2023-06-19

Prisma features and specs

  • High-Quality Filters
    Prisma offers a variety of artistic filters that can turn ordinary photos into works of art, mimicking styles of famous artists.
  • User-Friendly Interface
    The app features an intuitive and easy-to-navigate interface, making it accessible for users of all experience levels.
  • Regular Updates
    Prisma provides regular updates to keep the app fresh and secure, often releasing new filters and features.
  • Cross-Platform
    Available on both iOS and Android platforms, allowing a wider range of users to enjoy its features.
  • Social Media Integration
    Prisma allows easy sharing to social media platforms, making it convenient for users to showcase their edited photos.

Possible disadvantages of Prisma

  • Performance Issues
    Some users report that the app can be slow, especially when applying more complex filters.
  • Subscription Model
    While Prisma offers a free version, access to premium filters and features requires a subscription, which might not be suitable for all users.
  • High Data Usage
    The app can consume a lot of data, especially when downloading new filters or uploading high-resolution photos.
  • Limited Offline Functionality
    Most of Prisma’s features require an internet connection, which can be a limitation in areas with poor connectivity.
  • Privacy Concerns
    As with many photo apps, there are concerns about data security and how user images are stored and used.

TensorFlow features and specs

  • Comprehensive Ecosystem
    TensorFlow offers a complete ecosystem for end-to-end machine learning, covering everything from data preprocessing, model building, training, and deployment to production.
  • Community and Support
    TensorFlow boasts a large and active community, as well as extensive documentation and tutorials, making it easier for beginners to learn and experts to get help.
  • Flexibility
    TensorFlow supports a wide range of platforms such as CPUs, GPUs, TPUs, mobile devices, and embedded systems, providing flexibility depending on the user's needs.
  • Integrations
    TensorFlow integrates well with other Google products and services, including Google Cloud, facilitating seamless deployment and scaling.
  • Versatility
    TensorFlow can be used for a wide range of applications from simple neural networks to more complex projects, including deep learning and artificial intelligence research.

Possible disadvantages of TensorFlow

  • Complexity
    TensorFlow can be challenging to learn due to its complexity and the steep learning curve, particularly for beginners.
  • Performance Overhead
    Although TensorFlow is powerful, it can sometimes exhibit performance overhead compared to other, lighter frameworks, leading to longer training times.
  • Verbose Syntax
    The code in TensorFlow tends to be more verbose and less intuitive, which can make writing and debugging code more cumbersome relative to other frameworks like PyTorch.
  • Compatibility Issues
    Frequent updates and changes can lead to compatibility issues, requiring significant effort to keep libraries and dependencies up to date.
  • Mobile Deployment
    While TensorFlow supports mobile deployment, it is less optimized for mobile platforms compared to some other specialized frameworks, leading to potential performance drawbacks.

Prisma videos

+ Add

PRISMA 2020: updated guidelines for reporting systematic reviews and meta-analyses

More videos:

  • Review - PRISMA GUIDELINES FOR SYSTEMATIC REVIEW and META-ANALYSIS
  • Review - PRISMA Methods Systematic Review of Diagnostic Studies

TensorFlow videos

+ Add

What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

Category Popularity

0-100% (relative to Prisma and TensorFlow)

Prisma

TensorFlow

Digital Drawing And Painting
100 100%
Digital Drawing And Painting
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Image Editing
100 100%
Image Editing
0% 0
AI
28 28%
AI
72% 72

User comments

Share your experience with using Prisma and TensorFlow. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Prisma and TensorFlow

Prisma Reviews

  1. shah7
    · Admin at Lensa Mod ·
    Lensa

    Prisma AI is a computer vision and AI company that specializes in developing deep learning algorithms for image and video processing. It offers a range of products for object recognition, image and video classification, and style transfer. Many users have praised its ease of use and accurate results. However, like any technology, it has its limitations and may not always provide the best results for all use cases.

5 Apps Like Prisma Photo Editor
Prisma Photo Editor is an elegant photo editing platform that creates awesome photos while letting you apply tons of amazing features, effects, and functionalities right away. You can make your pics look awesome while applying Prisma’s effects and filters.
Source: www.justalternativeto.com
11 Best AI-Powered Photo Editor Software and Apps for Professionals
Prisma recently rolled out another similar AI-powered editing app named Lensa, which’s solely made for selfies and portrait photos. It can cover up pimples, dark circles and do other skin corrections along with overall enhancements.
Source: geekflare.com
Best free and paid photo editing apps for iPhone and Android
Prisma doesn't deal with subtle filters and basic image corrections. Instead, its trippy filters will transform your images into often bizarre artistic creations. The results have a painterly effect and indeed many filters are inspired by artists such as Salvador Dali and Picasso. The filters are strong, and while you can tweak them, not every filter will work with every...
Source: www.cnet.com
5 Free Prisma Alternative Software for Windows to Turn Photos into Art
If you love turning photos into artwork, then you must love the Prisma app. However, it doesn’t offer any desktop client and only works on Android and iPhone. But, what if you want to turn your photos into artwork while working on PC? Well, then using some of the Prisma alternative software for Windows is probably the best option for you to do the same. To ease up things for...
Source: www.ilovefreesoftware.com

TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
Source: www.labellerr.com
10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...
Source: www.assemblyai.com

Social recommendations and mentions

TensorFlow might be a bit more popular than Prisma. We know about 7 links to it since March 2021 and only 5 links to Prisma. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Prisma mentions (5)

  • How would generating art in private work ?
    What if I just want to make a few? However if you're hoping to do this just for a few images then there are some very low cost apps (often free if you plan it right) which use Stable Diffusion and Dreambooth in the background to produce the personalised images. One such example is Lensa. Source: about 2 years ago
  • Catching The Morning Sun
    Perhaps, or they just used an app like Prisma to add that “painting” effect. Source: about 3 years ago
  • Need your review. As a backend dev are you happy with GraphQL vs REST?
    I had to deal with this more in Rails whereas in Node/Apollo, using Prisma made composing efficient/perform ant SQL queries trivial: https://www.prisma.io/. Source: over 3 years ago
  • Carrack phone wallpaper edited using style transfer
    I really liked this wallpaper by /u/MadDaz and I tried using style transfers using prisma-ai.com to generate images a bit more abstract. Here are the results! Source: almost 4 years ago
  • Rare Rye Rose Mash-up
    Thanks - I made it on my android phone using Prisma and Snapseed. Source: almost 4 years ago

TensorFlow mentions (7)

  • Creating Image Frames from Videos for Deep Learning Models
    Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 2 years ago
  • Need help with a Tensorflow function
    So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 3 years ago
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: almost 3 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 3 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 3 years ago
View more

What are some alternatives?

When comparing Prisma and TensorFlow, you can also consider the following products

Deepart.io - Artificial intelligence turning your photos into art

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

Deep Dream Generator - Create inspiring visual content in a collaboration with our AI enabled tools.

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Deep Art Effects - Deep Art Effects transforms your photos and videos into works of neural art using artistic style transfer of famous artists.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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