BAIR

Caffe


5 / 5
1 review


Average Ratings

1 Review

  • 5 / 5
    Overall

  • 5 / 5
    Ease of Use

  • 4 / 5
    Customer Service

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About Caffe

Open source deep learning framework that provides GPU and CPU support. Perfect for academic research and industrial applications.


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Caffe Features

  • Convolutional Neural Networks
  • Document Classification
  • Image Segmentation
  • ML Algorithm Library
  • Model Training
  • Neural Network Modeling
  • Self-Learning
  • Visualization

Caffe Reviews Recently Reviewed!


Deep-learning framework with clear layer structure which is easy to understand.

Apr 19, 2018
5/5
Overall

5 / 5
Ease of Use

4 / 5
Features & Functionality

4 / 5
Customer Support

4 / 5
Value for Money

Pros: Caffe is very easy to get started because all the neural network structures are configured with configuration files. I don't need to coding for network design. Besides, it can be used to train state-of-the-art model and large scale of data since its training speed is very fast. The component modularity of Caffe also makes it easy to expand new models.

Cons: At first, Caffe was designed to only focus on images without supporting text, voice and time sequence. As a result, it is true that Caffe supports well to Convolutional Neural Network, but not good at supporting time sequence RNN, LSTM. In addition, the design pattern based on Layers is not friendly to RNN.