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Simplify AI Solutions on Big Data with Part 2 Satan Guinean, Jason Die, Rashida Rangarajan Intel December 2018Legal notices & disclaimers This document contains information on products, services and/or
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How to fill out bigdl bringing ease of
How to fill out bigdl bringing ease of
01
To fill out BigDL and bring ease of use, follow these steps:
02
First, make sure you have Java 8 and Apache Maven installed on your system.
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Clone the BigDL repository from GitHub using the following command: git clone https://github.com/intel-analytics/BigDL.git
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Navigate to the BigDL directory: cd BigDL
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Build BigDL using the following Maven command: mvn clean install
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Once the build is successful, you can import BigDL into your project by adding the following dependency to your Maven or SBT configuration:
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Maven:
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com.intel.analytics.bigdl
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bigdl
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0.13.0
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SBT:
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libraryDependencies += "com.intel.analytics.bigdl" % "bigdl" % "0.13.0"
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You can now use BigDL APIs to develop deep learning models and perform distributed training and inference on Apache Spark.
Who needs bigdl bringing ease of?
01
BigDL bringing ease of use is beneficial for:
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- Data scientists and researchers working on deep learning projects.
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- Developers who want to build deep learning models using familiar frameworks like TensorFlow and Keras.
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- Organizations that need to leverage distributed computing capabilities of Apache Spark for large-scale deep learning.
05
- Anyone interested in exploring and experimenting with deep learning algorithms and architectures.
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What is bigdl bringing ease of?
BigDL is bringing ease of implementing deep learning models on big data platforms.
Who is required to file bigdl bringing ease of?
Developers and data scientists who are working with big data platforms are required to file BigDL.
How to fill out bigdl bringing ease of?
To fill out BigDL, users need to install the necessary libraries and follow the documentation provided by the BigDL project.
What is the purpose of bigdl bringing ease of?
The purpose of BigDL is to simplify the process of implementing deep learning models on big data platforms.
What information must be reported on bigdl bringing ease of?
Users must report the details of the deep learning models they are implementing, the data they are using, and any specific requirements they have.
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