Software Alternatives, Accelerators & Startups

AppsGeyser VS TFlearn

Compare AppsGeyser VS TFlearn and see what are their differences

AppsGeyser logo AppsGeyser

Appsgeyser is the easiest to use DIY native mobile app creation platform.

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
  • AppsGeyser Landing page
    Landing page //
    2023-07-24
Not present

AppsGeyser videos

Good or Bad Making Android App From Appsgeyser | arunmaurya.net

More videos:

  • Review - Thunkable vs AppsGeyser Review and कितना Commission लेती है यह Websites
  • Tutorial - HOW TO MAKE ANDROID APPS || AppsGeyser ANDROID APP MAKING TUTORIAL#ONLINE TECH DEGREE

TFlearn videos

Face Recognition using Deep Learning | Convolutional-Neural-Network | TensorFlow | TfLearn

Category Popularity

0-100% (relative to AppsGeyser and TFlearn)
Mobile App Builder
100 100%
0% 0
OCR
0 0%
100% 100
Application Builder
100 100%
0% 0
Data Science And Machine Learning

User comments

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Reviews

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

AppsGeyser Reviews

Best Mobile App Development Tools for Kids
If you want to just dip your toes into the app development field, then AppGeyser is a good place to start. It’s free, it requires no coding, and it’s easy to use. You’re not going to create the next great app with this one, but you will be able to get something up quickly and easily for Android only that’s based on your website. The lack of iOS support is of course a big...
Source: codinghero.ai
Thunkable Alternatives with Advanced Options [Easy App Building]
Appsgeyser is a basic level tool which will help you to generate some specific Android and IOS apps automatically. Even you don’t need to fill flow charts for app logics and functions. This fully automatic tool will allow you to create Apps in matter of minutes.
5 Best Thunkable Alternatives Free Apps Building Sites 2018
AppsGeyser offers the free and simple tool to create, download, distribute and monetize your app. This is one of the fastest app builder platforms in the world. Your app will be created in 5 minutes or less!

TFlearn Reviews

We have no reviews of TFlearn yet.
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Social recommendations and mentions

Based on our record, TFlearn seems to be more popular. It has been mentiond 2 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.

AppsGeyser mentions (0)

We have not tracked any mentions of AppsGeyser yet. Tracking of AppsGeyser recommendations started around Mar 2021.

TFlearn mentions (2)

  • Beginner Friendly Resources to Master Artificial Intelligence and Machine Learning with Python (2022)
    TFLearn – Deep learning library featuring a higher-level API for TensorFlow. - Source: dev.to / almost 2 years ago
  • Base ball
    Both the teams in a game are given their individual ID values and are made into vectors. Relevant data like the home and away team, home runs, RBI’s, and walk’s are all taken into account and passed through layers. There’s no need to reinvent the wheel here, there's a multitude of libraries that enable a coder to implement machine learning theories efficiently. In this case we will be using a library called... - Source: dev.to / over 3 years ago

What are some alternatives?

When comparing AppsGeyser and TFlearn, you can also consider the following products

Thunkable - Powerful but easy to use, drag-and-drop mobile app builder.

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

BuildFire - BuildFire is the easiest way for small businesses to build a mobile app in a matter of minutes for iOS and Android.

Clarifai - The World's AI

MIT App Inventor - App Inventor is a cloud-based tool, which means you can create apps for phones or tablets right in your web browser.

DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.