Deep playground VS Neural Designer
Compare Deep playground VS Neural Designer and see what are their differences
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Deep playground
Neuronify
Netron
GoldSim
Neuroph
Spry Simulation
Alkanet
StatSim
Neural Designer
Celonis
Soroco Scout Platform
Software AG webMethods
QPR ProcessAnalyzer
Signavio Process Intelligence
UiPath Process Mining
PAFnow
Neural Designer is a data science and machine learning platform that helps you build, train, and deploy neural network models. The tool has been created so that innovative companies and research centers focus on their applications and not on mathematical algorithms or programming techniques. With Neural Designer, there is no need to write code or build block diagrams. Instead, the interface guides you through a sequence of well-defined steps.
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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.
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
For visualisation and some fun: http://playground.tensorflow.org/. - Source: dev.to / 4 months ago
Https://seeing-theory.brown.edu/ https://www.3blue1brown.com/ https://playground.tensorflow.org/. - Source: Hacker News / 8 months ago
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
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
Neuronify - An educational neural network app.
Celonis - Celonis offers process mining tool for analyzing & visualizing business processes.
Netron - Open-source visualizer for neural network, deep learning and machine learning models.
Soroco Scout Platform - Scout Platform is an artificial intelligence bases process mining and execution management software, helps large enterprises, Visualize their entire process in one place with interactive task maps that allow teams to work collaboratively.
GoldSim - GoldSim is the premier Monte Carlo simulation software solution for dynamically modeling complex systems in business, engineering and science.
Software AG webMethods - Software AG’s webMethods enables you to quickly integrate systems, partners, data, devices and SaaS applications