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Deep playground VS Spry Simulation

Compare Deep playground VS Spry Simulation and see what are their differences

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Deep playground logo Deep playground

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

Spry Simulation logo 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.
  • Deep playground Landing page
    Landing page //
    2019-09-01
  • Spry Simulation Landing page
    Landing page //
    2023-01-06

Deep playground features and specs

No features have been listed yet.

Spry Simulation features and specs

  • System dynamics: Yes
  • Discrete events modeling: Yes
  • Monte Carlo simulation: Yes
  • Simulation elements as spreadsheet functions: Yes
  • Charts: Yes
  • Optimization: Yes

Category Popularity

0-100% (relative to Deep playground and Spry Simulation)

Deep playground

Spry Simulation

Simulation
68 68%
Simulation
32% 32
Spreadsheets
61 61%
Spreadsheets
39% 39
Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Simulation Modeling
53 53%
Simulation Modeling
47% 47

User comments

Share your experience with using Deep playground and Spry Simulation. For example, how are they different and which one is better?
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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 / 2 months ago
  • Introduction to TensorFlow for Deep Learning
    For visualisation and some fun: http://playground.tensorflow.org/. - Source: dev.to / 5 months ago
  • Visualization of Common Algorithms
    Https://seeing-theory.brown.edu/ https://www.3blue1brown.com/ https://playground.tensorflow.org/. - Source: Hacker News / 9 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 / 11 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: 11 months ago
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Spry Simulation mentions (0)

We have not tracked any mentions of Spry Simulation yet. Tracking of Spry Simulation recommendations started around Jan 2023.

What are some alternatives?

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

Neuronify - An educational neural network app.

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

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

AnyLogic - AnyLogic has changed simulation modeling and expanded its application into complex business environments. The unmatched flexibility of multimethod modeling allows users to capture the complexity of virtually any system, at any level of detail.

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

Neuroph - Neuroph is lightweight Java neural network framework to develop common neural network architectures.

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