Software Alternatives & Reviews

Deep playground VS Neuroph

Compare Deep playground VS Neuroph and see what are their differences

Deep playground logo Deep playground

Deep playground is an interactive visualization of neural networks, written in typescript using d3.

Neuroph logo Neuroph

Neuroph is lightweight Java neural network framework to develop common neural network architectures.
  • Deep playground Landing page
    Landing page //
    2019-09-01
  • Neuroph Landing page
    Landing page //
    2019-11-24

Deep playground videos

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Neuroph videos

Neuroph Hacking Session at JCrete

Category Popularity

0-100% (relative to Deep playground and Neuroph)
Simulation
68 68%
32% 32
Data Science And Machine Learning
Spreadsheets
62 62%
38% 38
Simulation Modeling
61 61%
39% 39

User comments

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Social recommendations and mentions

Based on our record, Deep playground seems to be more popular. It has been mentiond 26 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.

Deep playground mentions (26)

  • Why do tree-based models still outperform deep learning on tabular data? (2022)
    Not the parent, but NNs typically work better when you can't linearize your data. For classification, that means a space in which hyperplanes separate classes, and for regression a space in which a linear approximation is good. For example, take the circle dataset here: https://playground.tensorflow.org That doesn't look immediately linearly separable, but since it is 2D we have the insight that parameterizing by... - Source: Hacker News / about 2 months ago
  • Introduction to TensorFlow for Deep Learning
    For visualisation and some fun: http://playground.tensorflow.org/. - Source: dev.to / 4 months ago
  • Visualization of Common Algorithms
    Https://seeing-theory.brown.edu/ https://www.3blue1brown.com/ https://playground.tensorflow.org/. - Source: Hacker News / 8 months ago
  • Stanford A.I. Courses
    There’s an interactive neural network you can train here, which can give some intuition on wider vs larger networks: https://mlu-explain.github.io/neural-networks/ See also here: http://playground.tensorflow.org/. - Source: Hacker News / 10 months ago
  • Let's revolutionize the CPU together!
    This site is worth playing around with to get a feel for neural networks, and somewhat about ML in general. There are lots of strategies for statistical learning, and neural nets are only one of them, but they essentially always boil down into figuring out how to build a “classifier”, to try to classify data points into whatever category they best belong in. Source: 10 months ago
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Neuroph mentions (0)

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

What are some alternatives?

When comparing Deep playground and Neuroph, you can also consider the following products

Neuronify - An educational neural network app.

Netron - Open-source visualizer for neural network, deep learning and machine learning models.

GoldSim - GoldSim is the premier Monte Carlo simulation software solution for dynamically modeling complex systems in business, engineering and science.

Neural Designer - Neural Designer is a high performance data science and machine learning platform.

Spry Simulation - Microsoft Excel add-in which enables system dynamics, discrete-event and Monte Carlo simulation in modern spreadsheets, especially with small to medium-sized simulation models and for a proof-of-concept tasks.

OpenCV - OpenCV is the world's biggest computer vision library