Software Alternatives, Accelerators & Startups

Customize UI for Google Forms VS Keras

Compare Customize UI for Google Forms VS Keras and see what are their differences

Customize UI for Google Forms logo Customize UI for Google Forms

Customize Google Forms and embed to your website in minutes

Keras logo Keras

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
  • Customize UI for Google Forms Main
    Main //
    2024-03-30
  • Customize UI for Google Forms Landing page
    Landing page //
    2023-10-01
  • Customize UI for Google Forms Customizer tool
    Customizer tool //
    2024-03-30

Customgform allows you to customize Google Form UI and embed to the website in minutes. Use all the power Google Form out-of-the-box, like email notifications, export to the spreadsheet... and customgform layer to make Google Form looks great and performant.

To save time on building website forms, follow 3 easy steps:

  1. Enter link on your Google Form
  2. Customize Google form
  3. Share or embed to the website

Supported platforms: WordPress, React, Shopify, and any platforms that support HTML code.

  • Keras Landing page
    Landing page //
    2023-10-16

Customize UI for Google Forms

$ Details
freemium $5.0 / Monthly (up to 10 forms)
Platforms
Wordpress ReactJS Shopify Wix Drupal
Release Date
2023 June

Keras

Website
keras.io
Pricing URL
-
$ Details
Platforms
-
Release Date
-

Customize UI for Google Forms videos

How to use Customgform

Keras videos

3. Deep Learning Tutorial (Tensorflow2.0, Keras & Python) - Movie Review Classification

More videos:

  • Review - Movie Review Classifier in Keras | Deep Learning | Binary Classifier
  • Review - EKOR KERAS!! Review and Bike Check DARTMOOR HORNET 2018 // MTB Indonesia

Category Popularity

0-100% (relative to Customize UI for Google Forms and Keras)
Form Builder
100 100%
0% 0
Data Science And Machine Learning
Surveys
100 100%
0% 0
Data Science Tools
0 0%
100% 100

Questions and Answers

As answered by people managing Customize UI for Google Forms and Keras.

How would you describe your primary audience?

Customize UI for Google Forms's answer

Anyone who has a website.

What makes your product unique?

Customize UI for Google Forms's answer

Customgform allows customized UI for Google Forms and stands out with its user-friendly interface, extensive customization options, real-time preview, responsive design, and strong support.

It use all the power of Google form under the hood and add a tiny customization layer, built on top of preact, to show your form instantly.

Why should a person choose your product over its competitors?

Customize UI for Google Forms's answer

It allows to customize Google Forms, embed to the website in minutes and start collecting responses. So you save a ton of time.

Which are the primary technologies used for building your product?

Customize UI for Google Forms's answer

We use preact, tailwind, css variables and Cloudflare to store data. It helps to achieve instant performance.

What's the story behind your product?

Customize UI for Google Forms's answer

I looked for a tool that allowed me to add a form to the website in minutes. Then I combined the power of Google Forms and UI customization tool, which helps to achieve a branded look & feel.

User comments

Share your experience with using Customize UI for Google Forms and Keras. 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 Customize UI for Google Forms and Keras

Customize UI for Google Forms Reviews

We have no reviews of Customize UI for Google Forms yet.
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Keras Reviews

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
15 data science tools to consider using in 2021
Keras is a programming interface that enables data scientists to more easily access and use the TensorFlow machine learning platform. It's an open source deep learning API and framework written in Python that runs on top of TensorFlow and is now integrated into that platform. Keras previously supported multiple back ends but was tied exclusively to TensorFlow starting with...

Social recommendations and mentions

Based on our record, Keras seems to be more popular. It has been mentiond 32 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.

Customize UI for Google Forms mentions (0)

We have not tracked any mentions of Customize UI for Google Forms yet. Tracking of Customize UI for Google Forms recommendations started around Jul 2023.

Keras mentions (32)

  • Using Google Magika to build an AI-powered file type detector
    The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / 8 days ago
  • My Favorite DevTools to Build AI/ML Applications!
    As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / about 2 months ago
  • Getting Started with Gemma Models
    After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / 2 months ago
  • How popular are libraries in each technology
    Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / 12 months ago
  • Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!
    I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: about 1 year ago
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What are some alternatives?

When comparing Customize UI for Google Forms and Keras, you can also consider the following products

Jotform - Free Online Form Builder & Form Creator

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.

CoPilot GPS - Get accurate GPS navigation with voice-guided, turn-by-turn directions everywhere you go.

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

Custom forms in Framer - Finally!

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