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TensorFlow VS Invision

Compare TensorFlow VS Invision and see what are their differences

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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.

Invision logo Invision

Prototyping and collaboration for design teams
  • TensorFlow Landing page
    Landing page //
    2023-06-19
  • Invision Landing page
    Landing page //
    2023-10-07

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.

Invision features and specs

  • Collaborative Features
    InVision provides a range of collaborative tools like real-time co-editing, feedback, and comments, which make it easier for teams to work together.
  • Prototyping
    InVision allows for high-fidelity, interactive prototypes that closely mimic the final product, helping stakeholders understand the user experience better.
  • Integrations
    The platform integrates seamlessly with other popular design tools such as Sketch, Photoshop, and various project management tools, enhancing workflow efficiency.
  • User Testing
    InVision supports user testing features that allow designers to gather real-time feedback from end-users, improving the final product's usability.
  • Version Control
    It offers robust version control features, allowing teams to track changes, revert to previous versions, and maintain an organized workflow.
  • Cloud Storage
    Cloud-based storage ensures that all project files are accessible from anywhere, making it convenient for remote teams.

Possible disadvantages of Invision

  • Learning Curve
    The platform can be complex for new users, requiring time to learn and fully understand its extensive features.
  • Performance Issues
    Some users have reported performance issues, particularly with large projects, which can slow down the workflow.
  • Cost
    InVision can be expensive, especially for small teams or freelancers, despite offering many valuable features.
  • Limited Offline Access
    Since it's a cloud-based tool, offline access to projects and files is limited, which can be an issue for teams with unreliable internet connections.
  • Mobile Experience
    The mobile experience is not as robust as the desktop version, which can be limiting for users who need to work on the go.

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)

Invision videos

+ Add

InVision Studio Review | Here's what we think!

More videos:

  • Review - Thoughts On InVision Studio
  • Review - Welcome to InVision Studio | Overview

Category Popularity

0-100% (relative to TensorFlow and Invision)

TensorFlow

Invision

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Prototyping
0 0%
Prototyping
100% 100
AI
100 100%
AI
0% 0
Design Tools
0 0%
Design Tools
100% 100

User comments

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Reviews

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

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

Invision Reviews

10 Best Figma Alternatives in 2024
A visual collaboration tool and best figma alternative called InVision enables communication between designers during many phases of product design, such as development, testing, and prototyping. It’s also used for UI and UX design.
Source: www.geeksforgeeks.org
9 Best InVision Alternatives to Switch to in 2024
On 4 January 2024, InVision announced that its design collaboration services are shutting down. So, we came up with nine InVision alternatives that you can switch to this year.
Source: designmodo.com
Figma Alternatives: 12 Prototyping and Design Tools in 2024
Invision was created in 2011 and is one of the most powerful applications you can use in 2023 for prototyping, animation, and designing. It has over 7 million global clients and boasts some awards for its cloud-based services.
Source: mockitt.wondershare.com
5 Figma Alternatives for UI & UX Designers
InVision provides an alternative solution to FigJam. As a Figma user, you’re most likely familiar with FigJam already. If not – it is an online team-based whiteboard interface where you can work together on ideas, set plans in stone, and create visual project trajectories. InVision provides the same exact solution, focusing on affordability (it has a free plan!) and...
Source: stackdiary.com
10 Best Adobe XD Alternatives (Free & Paid)
InVision is an easy-to-use tool that makes designing delightfully simple. You can smoothly create interactive and responsive prototypes. With advanced features like multi-user collaboration, vector editing, transitions & animation tools, workflow synchronization, and robust asset libraries, it is the perfect Adobe XD alternative for creating outstanding UI designs. The tool...
Source: justcreative.com

Social recommendations and mentions

Based on our record, TensorFlow should be more popular than Invision. It has been mentiond 7 times since March 2021. 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.

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: about 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

Invision mentions (4)

  • The Best 100 Free UI/UX Resources for Every Designer & Developer
    InVision Invisionapp.com Prototyping and collaboration tool with a free plan for up to 3 projects. - Source: dev.to / 3 months ago
  • Resources for improving UI skills
    Search for UI/Design/Firma Tutorials on YouTube, check out UI related Blog posts on invisionapp.com, check out UI Inspiration muzli. Source: over 2 years ago
  • Migrating to Figma: is there a good alternative to the invisionapp.com website for design documentation and organization?
    We have 100s of different screens to migrate as well as a really large design system, and to date we've been successfully using the invisionapp.com website to keep things really well organized and easy to navigate with tags, pages, etc. We've enjoyed this system so far because it's easy for PMs and Devs to navigate in a website format, without having to learn the design software or get bogged down in artboards. Source: almost 3 years ago
  • Best platform for online tutoring?
    Other options: explain everything whiteboard, invisionapp.com. Source: over 3 years ago

What are some alternatives?

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

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

Figma - Team-based interface design, Figma lets you collaborate on designs in real time.

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

Adobe XD - Adobe XD is an all-in-one UX/UI solution for designing websites, mobile apps and more. 

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

Marvel - Turn sketches, mockups and designs into web, iPhone, iOS, Android and Apple Watch app prototypes.

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