Caffe
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Caffe
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Caffe Reviews & Product Details - Page 2

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Caffe Overview

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What is Caffe?

Caffe is a deep learning framework made with expression, speed, and modularity in mind.

Caffe Details
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Product Description

Caffe is a deep learning framework made with expression, speed, and modularity in mind.

Seller Details
Seller
Caffe
Year Founded
2015
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
670 employees on LinkedIn®

Recent Caffe Reviews

RK
Rupesh K.Mid-Market (51-1000 emp.)
5.0 out of 5
"Caffe Osam Experience"
One of the best machine learning software where you can use your most time for work and easy purpose use. osam frame works and osam algorithms work...
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Verified User
U
Verified UserSmall-Business (50 or fewer emp.)
3.5 out of 5
"Good Machine learning tool"
This is incredibly quick and supports GPU pretty well, to start. There is a tonne of built-in code, thus writing code is not necessary for classifi...
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Abhuday T.
AT
Abhuday T.Small-Business (50 or fewer emp.)
5.0 out of 5
"deep learning library for python programmer and matlab user"
It run on both GPU based system and non-GPU based system
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16 Caffe Reviews

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Verified User in Computer Software
UC
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Incentivized Review
What do you like best about Caffe?

I use Caffe2 somethimes when I use pytorch because it merged with pytorch. Review collected by and hosted on G2.com.

What do you dislike about Caffe?

There is a lack of projects using caffe on github.

Custom layers are complicated to do. Review collected by and hosted on G2.com.

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

I used Caffe for computer vision object detection.

It helped me load pretrained models. Review collected by and hosted on G2.com.

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prasanna d.
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Machine Learning Engineer
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What do you like best about Caffe?

Model Zoo which has a large collection of deep nets which perform state-of-art in multiple domains. Review collected by and hosted on G2.com.

What do you dislike about Caffe?

Building a custom deep network is not very flexible as compared to Keras and Pytorch. Review collected by and hosted on G2.com.

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

I can quickly prototype my ideas and get results soon. Review collected by and hosted on G2.com.

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Verified User in Computer Software
UC
Mid-Market(51-1000 emp.)
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What do you like best about Caffe?

I love the fact that caffe so easily allows us to convert to tensorRT. Since tensorRT supports caffe models out of the box it was very convenient to create a model in caffe Review collected by and hosted on G2.com.

What do you dislike about Caffe?

Very less documentation that talks about the flow of coding a neural network Review collected by and hosted on G2.com.

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

Easy usage of models across python and C++. It was very convenient to use the model in c++ without having to convert it Review collected by and hosted on G2.com.

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What do you like best about Caffe?

Its good to train basic models with it and can be easily handled. Review collected by and hosted on G2.com.

What do you dislike about Caffe?

Theres no specific thing I dislike about it. Review collected by and hosted on G2.com.

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

Image classification , PNNs, hatched networks Review collected by and hosted on G2.com.

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GC
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What do you like best about Caffe?

Its fast, hides most complicated stuff under the carpet - which is a great strength and a weakness at same time. I think it makes it easy to get started with training new ml models without much tinkering. Abstracting out the graph makes it harder to make mistakes. This also ensures that the most optimal graph is compiled making it much faster than some other frameworks. Review collected by and hosted on G2.com.

What do you dislike about Caffe?

It makes it harder to make changes in base library. Its much harder to introduce new layers and know whats going on. That limits the knowledge about deep learning fundamentals. Also if there is a bug it can be hard to find since you don't create graph in any known language but rather a configuration file following a format similar to json. At time of writing this review no visualization tools were available either. Review collected by and hosted on G2.com.

Recommendations to others considering Caffe:

Take it easy - it can be a steep learning curve, but its fast and efficient and overall a competitive platform. Review collected by and hosted on G2.com.

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

I think caffe can be used to rapidly deploy a product. Its fast and efficient especially when compiling convolution networks used in computer vision and image analysis applications. Small size and easy automation makes it easy to use it for hyper-parameter search applications. Review collected by and hosted on G2.com.

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Verified User in Hospital & Health Care
GH
Small-Business(50 or fewer emp.)
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What do you like best about Caffe?

This software is easy to use. Also helps with creativity and cost when building a menu and staying under costs. Wide library of items to choose from. Review collected by and hosted on G2.com.

What do you dislike about Caffe?

The ability to customize, some options are prefixed and it is a few extra steps when customizing menu/recipes Review collected by and hosted on G2.com.

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

Cutting costs for inventory and waste. Review collected by and hosted on G2.com.

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