What are the differences between BigDL and Caffe?

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Let us understand the concepts of BigDL and Caffe before learning the differences between them.

BigDL

It is a distributed deep learning framework for Apache Spark, launched by Jason Dai in the year 2016 at Intel. By using BigDL, users write deep learning applications as standard Spark programs that can directly run on top of existing Spark or Hadoop clusters.

Features

The features of BigDL are as follows −

  • Rich deep learning support
  • Efficiently scale-out
  • Extremely high performance
  • provides plenty of deep learning modules
  • Layers
  • Optimization

Advantages

The advantages of BigDL are as follows −

  • Speed
  • Ease of use
  • Dynamic nature
  • Multilingual
  • Advanced analytics
  • Demand for spark developers.

Disadvantages

The disadvantages of BigDL are as follows −

  • No automatic optimization process
  • File Management System
  • Fewer algorithms
  • Small files issue
  • Window Criteria
  • Doesn’t suit for a multi-user environment

Caffe

Caffe is an End-to-end Deep Learning for the Practitioner and Developer It is called as a deep learning framework with expression, speed, and modularity in mind. It was developed at University of California, Berkeley in the year 2017. It is written in the language C++ by using the python interface. The operating system it supports is Linux, macOS and windows.

Features

The features of Caffe are as follows −

  • Data Pre-processing and Management
  • Deep Learning Model
  • Deep Neural Network Training
  • Monitoring the Training Process
  • Deep Neural Network Deployment
  • Deep Neural Network Sharing
  • Extensible Code

Advantages

The advantages of Caffe are as follows −

  • Caffe is good for traditional image-based CNN
  • Caffe is good for traditional image-based CNN
  • Allows network visualization
  • Implementation for CPU and GPU
  • Allow layer definition in Python

Disadvantages

The disadvantages of Caffe are as follows −

  • It is a little bit complex
  • Bad to write proto files for big networks
  • Bad to experience new architectures
  • Caffe's deployment for production is not easy

Differences

The major differences between BigDL and Caffe are as follows −

BigDLCaffe
It was launched by Jason Dai in the year 2016 at Intel.It was developed at University of California, Berkeley in the year 2017
It is a distributed deep learning framework for Apache SparkCaffe is an End-to-end Deep Learning for the Practitioner and Developer
It was written in Scala languageCaffe is written in C++ language.
BigDL's supported operating system is Apache Spark.Caffe supported operating system are Linux, macOS and windows.
BigDL does not support Compute Unified Device ArchitectureCaffe supports Compute Unified Device Architecture.
Software license is Apache 2.0Software licence is BSD.
raja
Updated on 23-Mar-2022 10:30:15

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