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PerceptiLabs VS LostTech.TensorFlow

Compare PerceptiLabs VS LostTech.TensorFlow and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

PerceptiLabs logo PerceptiLabs

A tool to build your machine learning model at warp speed.

LostTech.TensorFlow logo LostTech.TensorFlow

Gradient allows you to create, train, and use machine learning models with the full power of TensorFlow API on .NET - Train and run models on any hardware platform- Use distributed training features- Track your progress with TensorBoard- Use C#
  • PerceptiLabs Landing page
    Landing page //
    2022-03-09
  • LostTech.TensorFlow Landing page
    Landing page //
    2021-10-17

PerceptiLabs videos

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PerceptiLabs-The Best Machine Learning Visual Modeling Tool-Train Deep Learning Neural Network

More videos:

  • Review - An Introduction to Deep Learning with PerceptiLabs

LostTech.TensorFlow videos

No LostTech.TensorFlow videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to PerceptiLabs and LostTech.TensorFlow)

PerceptiLabs

LostTech.TensorFlow

Developer Tools
78 78%
Developer Tools
22% 22
AI
76 76%
AI
24% 24
Tech
100 100%
Tech
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

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What are some alternatives?

When comparing PerceptiLabs and LostTech.TensorFlow, you can also consider the following products

Aquarium - Improve ML models by improving datasets they’re trained on

LayAuto - Automated window management for Mac ✨

Scale Nucleus - The mission control for your ML data

HotShots - Hotshots is a screenshot tool with some editing features.

ML Image Classifier - Quickly train custom machine learning models in your browser

Apple Machine Learning Journal - A blog written by Apple engineers

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