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ConvNetJS VS Microsoft Cognitive Toolkit (Formerly CNTK)

Compare ConvNetJS VS Microsoft Cognitive Toolkit (Formerly CNTK) and see what are their differences

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ConvNetJS logo ConvNetJS

ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in a browser.

Microsoft Cognitive Toolkit (Formerly CNTK) logo Microsoft Cognitive Toolkit (Formerly CNTK)

Machine Learning
  • ConvNetJS Landing page
    Landing page //
    2019-05-06
  • Microsoft Cognitive Toolkit (Formerly CNTK) Landing page
    Landing page //
    2023-10-16

Category Popularity

0-100% (relative to ConvNetJS and Microsoft Cognitive Toolkit (Formerly CNTK))

ConvNetJS

Microsoft Cognitive Toolkit (Formerly CNTK)

OCR
39 39%
OCR
61% 61
Machine Learning
48 48%
Machine Learning
52% 52
Data Science And Machine Learning
39 39%
Data Science And Machine Learning
61% 61
Image Analysis
38 38%
Image Analysis
62% 62

User comments

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Social recommendations and mentions

Based on our record, ConvNetJS seems to be more popular. It has been mentiond 2 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.

ConvNetJS mentions (2)

  • Gotta consider every possibility
    One, Two, Three, and so on. ANYone does use JS for machine learning. Though that's unconventional, python is by far the leading language for ML. Maybe you meant to say "EVERYone"? Source: about 1 year ago
  • How to start with Deep Learning
    Another good one is ConvNetJS - but I don’t have much experience using that. - Source: dev.to / almost 3 years ago

Microsoft Cognitive Toolkit (Formerly CNTK) mentions (0)

We have not tracked any mentions of Microsoft Cognitive Toolkit (Formerly CNTK) yet. Tracking of Microsoft Cognitive Toolkit (Formerly CNTK) recommendations started around Mar 2021.

What are some alternatives?

When comparing ConvNetJS and Microsoft Cognitive Toolkit (Formerly CNTK), you can also consider the following products

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

TFlearn - TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.

Clarifai - The World's AI

Knet - Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.

Merlin - Merlin is a deep learning framework written in Julia, it aims to provide a fast, flexible and compact deep learning library for machine learning.

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