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Microsoft Cognitive Toolkit (Formerly CNTK) VS Neurolab

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

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

Machine Learning

Neurolab logo Neurolab

Neurolab is a simple and powerful Neural Network Library for Python that contains based neural networks, train algorithms and flexible framework to create and explore other neural network types.
  • Microsoft Cognitive Toolkit (Formerly CNTK) Landing page
    Landing page //
    2023-10-16
  • Neurolab Landing page
    Landing page //
    2023-10-10

Microsoft Cognitive Toolkit (Formerly CNTK) videos

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Neurolab videos

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NeuroLab Urine & Saliva Test Instructional Video

More videos:

  • Review - Alzheimer's Disease_Ruffin NeuroLab RIP 20200909 Malcolm Lee I
  • Review - N.PHONE Smart Hud (Next.Gen AIO HUD Technology) (EN/FR) Neurolab Inc. (Second Life)

Category Popularity

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

Microsoft Cognitive Toolkit (Formerly CNTK)

Neurolab

OCR
80 80%
OCR
20% 20
Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Machine Learning
73 73%
Machine Learning
27% 27
Image Analysis
0 0%
Image Analysis
100% 100

User comments

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What are some alternatives?

When comparing Microsoft Cognitive Toolkit (Formerly CNTK) and Neurolab, 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.

Clarifai - The World's AI

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.

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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