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Get waves VS TensorFlow

Compare Get waves VS TensorFlow and see what are their differences

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Get waves logo Get waves

A simple web app to generate svg waves, unique every time

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.
  • Get waves Landing page
    Landing page //
    2021-10-10
  • TensorFlow Landing page
    Landing page //
    2023-06-19

Get waves features and specs

  • Ease of Use
    Get Waves offers a straightforward and intuitive interface, allowing users to generate wave patterns quickly without requiring any design skills.
  • Customization Options
    The tool provides multiple customization options, such as adjusting wave height, amplitude, and color, enabling users to create unique designs.
  • Free to Use
    Get Waves is a free tool, making it accessible for individuals, startups, and small businesses without budget constraints.
  • SVG Download
    Users can export their wave designs in scalable vector graphic (SVG) format, which is ideal for maintaining quality in various design projects.
  • Responsive Design
    The generated waves are responsive, ensuring that they look good on different screen sizes and devices.

Possible disadvantages of Get waves

  • Limited Complexity
    The tool may not offer the level of complexity and detail needed for advanced design projects, limiting its use case to simpler applications.
  • No Animation Features
    Get Waves does not support animated waves, which could be a drawback for users looking to create dynamic web elements.
  • Basic Color Picker
    The color picker is somewhat basic and might not offer advanced color manipulation features like gradients or pattern fills.
  • Dependency on Internet
    Users need an internet connection to access and use the tool, which might be inconvenient in areas with poor connectivity.
  • Limited Integration
    The tool does not offer direct integrations with popular design software like Adobe Illustrator or Figma, necessitating manual import of the SVG files.

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.

Analysis of Get waves

Overall verdict

  • Yes, Get Waves is considered a good tool for those looking to create wave patterns efficiently and effectively. It provides a straightforward solution for generating aesthetically pleasing SVG waves, making it a great choice for both beginners and experienced users.

Why this product is good

  • Get Waves (getwaves.io) is a popular tool for generating customizable SVG wave patterns. Its user-friendly interface allows designers and developers to create visually appealing wave designs without advanced graphic design skills. Users appreciate its simplicity and the ability to quickly export the wave patterns for use in web projects.

Recommended for

    Web designers, front-end developers, and anyone needing quick and easy access to customizable wave patterns for digital projects.

Get waves videos

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TensorFlow videos

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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 Get waves and TensorFlow)

Get waves

TensorFlow

Design Tools
100 100%
Design Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Vector Graphic Editor
100 100%
Vector Graphic Editor
0% 0
AI
0 0%
AI
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 Get waves and TensorFlow

Get waves Reviews

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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

Based on our record, Get waves should be more popular than TensorFlow. It has been mentiond 22 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.

Get waves mentions (22)

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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
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What are some alternatives?

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

SVG Backgrounds - Copy-and-paste scalable backgrounds, repeating patterns, icons, and other website graphics directly into projects. All customizable, tiny in file size, and licensed for multi-use.

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

SVG Artista - Little tool that helps you create SVG animations

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

Svg Wave - A tiny, customizable svg wave generators for UI Designs.

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

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