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TensorFlow VS MIT App Inventor

Compare TensorFlow VS MIT App Inventor 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.

MIT App Inventor logo 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.
  • TensorFlow Landing page
    Landing page //
    2023-06-19
  • MIT App Inventor Landing page
    Landing page //
    2023-10-23

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)

MIT App Inventor videos

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MIT App Inventor: Mobile Apps. Built by You.

More videos:

  • Tutorial - How to Send Data to a Google Sheet with MIT App Inventor
  • Review - Thunkable Vs AppyBuilder Vs Makroid Vs MIT App Inventor ||difference||
  • Tutorial - Create First App in MIT App Inventor 2

Category Popularity

0-100% (relative to TensorFlow and MIT App Inventor)

TensorFlow

MIT App Inventor

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Application Builder
0 0%
Application Builder
100% 100
AI
100 100%
AI
0% 0
IDE
0 0%
IDE
100% 100

User comments

Share your experience with using TensorFlow and MIT App Inventor. 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 TensorFlow and MIT App Inventor

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

MIT App Inventor Reviews

Top 5 App Builder To Build Your Own App Without Coding
Undoubtedly, Kodular has been the best app builder in recent years. It was founded on 6 July 2017 by the partnership of 7 people such as Conor shipp, Vishwas Adiga, Pavitra Golchha, Sander Jochems, Sivagiri Visakan, and Diego Barreiro. It is a Builder based on the MIT App inventor. You can make your apps on this platform without any charges. Everything is 100% free in this...
Source: www.neverspend.in
THE BEST 34 APP DEVELOPMENT SOFTWARE IN 2022 LIST
AppInventor.org is a site for learning and teaching how to program mobile apps with MIT’s App Inventor. These tutorials are refined versions of the tutorials that have been on the Google and MIT App Inventor sites from App Inventor’s inception– thousands of beginners have used them to learn programming and learn App Inventor.
Source: www.edigitalagency.com.au
Best Mobile App Development Tools for Kids
MIT App Inventor is a web application integrated development environment originally provided by Google and now maintained by the Massachusetts Institute of Technology (MIT). It allows newcomers to computer programming to create application software(apps) for two operating systems (OS): Android, and iOS. It is free and open-source software released under dual licensing.
Source: codinghero.ai
10 Best Android Studio Alternatives For App Development
Thunkable is a powerful drag and drops app builder. And this is made by two of the very first MIT engineers on the MIT app inventor. The platform is geared for the most professional users, who may want higher quality and robust apps for their business, community or just for themselves. Thus, Thunkable has an amazingly active and engaged community. And it also offers live...
Source: techdator.net
Thunkable Alternatives with Advanced Options [Easy App Building]
MIT App Inventor is also same as thunkable app builder but with more customization and advanced options. I listed this drag and drop app builder at No 2 because of its simple and easy user interface and flexibility.
Source: www.howlooks.com

Social recommendations and mentions

Based on our record, MIT App Inventor should be more popular than TensorFlow. It has been mentiond 40 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 1 year 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 2 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 2 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 2 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 2 years ago
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MIT App Inventor mentions (40)

  • Looking for savable graphing methods
    First thought, play with MIT App Inventor https://appinventor.mit.edu/, they have dedicated blocks for graphing and cross-platform implementations of Bluetooth for Android and iOS. The data format is still up to you. Source: about 1 year ago
  • App for recording time periods
    Or you could go to https://appinventor.mit.edu/ and design your own custom app (no widget, though). Source: about 1 year ago
  • Easiest code to learn to make an app?
    If you want to make a mobile app you could try https://appinventor.mit.edu/. Source: about 1 year ago
  • Trying to have a Ubuntu server I can turn on from my phone, log in as user, and start the Docker containers for my server. How do I automate this process?
    Maybe a raspberry pi that's on 24/7 connected to wifi and use that to send the wake over lan signal to the server? Arduino on the power pins also works, I did something quite similar but with a Bluetooth board, the code was really simple I just made an Android app with MIT app inventor that sent a signal to the hc_05 bt board, once the Arduino received that signal it shorted the power pin to 5v for half a second... Source: over 1 year ago
  • Am searching for a partner who can help me with an app idea
    If your idea isn't complicated, have a look at MIT App Inventor. It literally is, drag-and-drop. That should get you started. Source: over 1 year ago
View more

What are some alternatives?

When comparing TensorFlow and MIT App Inventor, you can also consider the following products

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

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.

Bubble.io - Building tech is slow and expensive. Bubble is the most powerful no-code platform for creating digital products.

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

Kodular - Much more than a modern app creator without coding

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