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Theano Reviews & Product Details

Theano Overview

What is Theano?

Theano is a Python library that allows user to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently

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Product Description

Theano is a Python library that allows user to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently


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Theano

Description

Theano is an open-source Python library that enables efficient definition, optimization, and evaluation of mathematical expressions involving multi-dimensional arrays. Particularly favored in the field of machine learning, Theano integrates seamlessly with NumPy, utilizes the power of GPUs, and generates dynamically compiled C code for optimal performance. Originally developed by the LISA (now MILA) group at the University of Montreal, Theano has been instrumental in advancing deep learning research by providing a robust platform where computations can be expressed in a concise and precise manner. More about Theano and detailed documentation can be found on its official website at [deeplearning.net](http://www.deeplearning.net/).

Recent Theano Reviews

Takrim A.
TA
Takrim A.Mid-Market (51-1000 emp.)
2.0 out of 5
"Lack of resources in terms of NLP and transformer models"
Simple syntax and mainly the applications of CNN models in the domain of deep learning
Verified User
I
Verified UserMid-Market (51-1000 emp.)
2.0 out of 5
"Lack of resources in terms of NLP and transformer models"
Simple syntax and mainly the applications of CNN models.
Santosh V.
SV
Santosh V.Enterprise (> 1000 emp.)
4.5 out of 5
"Theano is stable, optimized and fast in performance."
The level of control to write algorithms/networks from scratch is relatively high. It also is faster in executing the networks and comes with an op...

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4 Theano Reviews

3.1 out of 5
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4 Theano Reviews
3.1 out of 5
4 Theano Reviews
3.1 out of 5
G2 reviews are authentic and verified.
Takrim A.
TA
Software Engineer
Mid-Market(51-1000 emp.)
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Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Theano?

Simple syntax and mainly the applications of CNN models in the domain of deep learning Review collected by and hosted on G2.com.

What do you dislike about Theano?

Lack of online resources mainly in terms of Transformer models and NLP. Review collected by and hosted on G2.com.

Recommendations to others considering Theano:

Try to read documentations as there are not much resources available. Review collected by and hosted on G2.com.

What problems is Theano solving and how is that benefiting you?

Solved problems which are primarily focused on Computer Vision such as using Inception V3 model. Review collected by and hosted on G2.com.

Verified User in E-Learning
IE
Mid-Market(51-1000 emp.)
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Theano?

Simple syntax and mainly the applications of CNN models. Review collected by and hosted on G2.com.

What do you dislike about Theano?

Lack of online resources mainly in terms of Transformer models. Review collected by and hosted on G2.com.

Recommendations to others considering Theano:

Try to read documentations as there are not much resources available. Review collected by and hosted on G2.com.

What problems is Theano solving and how is that benefiting you?

Solved problems which are primarily focused on Computer Vision such as using Inception V3 model. Review collected by and hosted on G2.com.

Santosh V.
SV
Deep Learning Engineer
Enterprise(> 1000 emp.)
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Theano?

The level of control to write algorithms/networks from scratch is relatively high. It also is faster in executing the networks and comes with an optional keras frontend to make it easier for developer to develop networks. Review collected by and hosted on G2.com.

What do you dislike about Theano?

Without keras as frontend, using raw theano has a high learning curve. Review collected by and hosted on G2.com.

Recommendations to others considering Theano:

Initially, It might be hard to figure out how things work with theano but once picked up, you will find it more stable and optimized. So its worth the initial effort Review collected by and hosted on G2.com.

What problems is Theano solving and how is that benefiting you?

It was harder for me to develop networks from scratch because it has a steeper learning curve. When I figured using it eventually, then I found it more stable and fast compared to other deep learning frame works. Review collected by and hosted on G2.com.

Verified User in Higher Education
GH
Enterprise(> 1000 emp.)
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Theano?

Theano is a Python library and is good for making algorithms from scratch.

I used standard algorithms and wrote Pylearn2 plugins as Theano expressions, and Theano optimized and stabilize the expressions. It includes all things needed for multilayer perceptron/RBM/Stacked Denoting Autoencoder/ConvNets. Review collected by and hosted on G2.com.

What do you dislike about Theano?

Documentation is a little tough to understand. Review collected by and hosted on G2.com.

What problems is Theano solving and how is that benefiting you?

I was working on the implementation if neural networks on FPGAs using Theano. Review collected by and hosted on G2.com.

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