Text is unreadable
Whoever designed the UI was not very bright as white text on on a cream color background is unreadable for those of us with vision difficulty.
Free
About
This app visualizes machine learning algorithms to enhance understanding. Adjust parameters to observe how different settings affect algorithm outcomes. Currently features gradient descent, neural networks, and linear regression, with more to come.
✓Algorithm visualization
✓Parameter regulation
✓Gradient descent
✓Neural networks
✓Linear regression
Show original description
What's New in Machine Learning hub
1.0
March 31, 2020
User reviews
Developer apps
FAQ
What machine learning algorithms does Machine Learning hub currently support?
Machine Learning hub currently supports gradient descent, neural networks, and linear regression. The developers plan to add more algorithms in future updates.
How does Machine Learning hub help users understand algorithms?
Machine Learning hub provides a visualization function that allows users to see how algorithms work. By regulating parameters, users can rerun algorithms and observe the differences in their outcomes.
Is Machine Learning hub available on Android devices?
Based on the provided information, Machine Learning hub is supported on iPhone, iPad, and iPod. Compatibility with Android devices is not specified.
What is the update frequency for Machine Learning hub?
Machine Learning hub was last updated on March 31, 2020, with version 1.0. There is no information available regarding its typical update frequency.
What is the user sentiment for Machine Learning hub?
Machine Learning hub has a rating of 3.7 stars from 3 ratings. This indicates a mixed to positive user sentiment based on the limited feedback available.
Does Machine Learning hub have ads?
No, Machine Learning hub does not contain advertisements. It is a free application without any in-app purchases or ads.
What is the age rating for Machine Learning hub?
Machine Learning hub has an age rating of 4+, making it suitable for young children and older users alike.
