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Knet VS DeepPy

Compare Knet VS DeepPy and see what are their differences

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Knet logo Knet

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

DeepPy logo 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 Landing page
    Landing page //
    2021-10-10
  • DeepPy Landing page
    Landing page //
    2019-06-12

Knet videos

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Play Doh Knetfiguren | deutsch - formen mit Knetix Knet-Set | Review and Fun

More videos:

  • Review - Review/Test: Soft-Knet-Set aus dem Müller Drogeriemarkt
  • Review - knet Mario review

DeepPy videos

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Category Popularity

0-100% (relative to Knet and DeepPy)

Knet

DeepPy

OCR
40 40%
OCR
60% 60
Data Science And Machine Learning
49 49%
Data Science And Machine Learning
51% 51
Machine Learning
41 41%
Machine Learning
59% 59
Data Dashboard
100 100%
Data Dashboard
0% 0

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What are some alternatives?

When comparing Knet and DeepPy, 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.

Microsoft Cognitive Toolkit (Formerly CNTK) - Machine Learning

Clarifai - The World's AI

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.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

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