Software Alternatives & Reviews

Theano VS Knet

Compare Theano VS Knet and see what are their differences

Theano logo Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano features: tight integration with NumPy – Use numpy.

Knet logo Knet

Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.
  • Theano Landing page
    Landing page //
    2023-09-19
  • Knet Landing page
    Landing page //
    2021-10-10

Theano videos

Theano 5 function 用法 (神经网络 教学教程tutorial)

Knet videos

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

Category Popularity

0-100% (relative to Theano and Knet)
Data Science And Machine Learning
OCR
0 0%
100% 100
AI
100 100%
0% 0
Business & Commerce
100 100%
0% 0

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What are some alternatives?

When comparing Theano and Knet, you can also consider the following products

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.

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

Open Text Magellan - OpenText Magellan - the power of AI in a pre-wired platform that augments decision making and accelerates your business. Learn more.

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

Kira - Gain visibility into contract repositories, accelerate and improve the accuracy of contract review, mitigate risk of errors, win new business, and improve the value you provide to your clients.

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.