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Theano VS Amazon DSSTNE

Compare Theano VS Amazon DSSTNE and see what are their differences

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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.

Amazon DSSTNE logo Amazon DSSTNE

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is a library for building Deep Learning (DL) and machine learning (ML) models.
  • Theano Landing page
    Landing page //
    2023-09-19
  • Amazon DSSTNE Landing page
    Landing page //
    2023-10-16

Theano videos

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

Amazon DSSTNE videos

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Category Popularity

0-100% (relative to Theano and Amazon DSSTNE)

Theano

Amazon DSSTNE

Data Science And Machine Learning
71 71%
Data Science And Machine Learning
29% 29
AI
100 100%
AI
0% 0
Deep Learning
0 0%
Deep Learning
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0

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What are some alternatives?

When comparing Theano and Amazon DSSTNE, 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.

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

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

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.

Floyd - Heroku for deep learning

Infrrd.ai - Cheaper, Lighter, Faster Enterprise AI platform that makes sense of your image, text and behavioral data to automate decision for cost/man power reduction or revenue increase.

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