j143 commented on a change in pull request #877: SystemDS Documentation URL: https://github.com/apache/systemml/pull/877#discussion_r406572994
########## File path: deep-learning.md ########## @@ -29,21 +29,21 @@ limitations under the License. # Introduction -There are three different ways to implement a Deep Learning model in SystemML: +There are three different ways to implement a Deep Learning model in SystemDS: 1. Using the [DML-bodied NN library](https://github.com/apache/systemml/tree/master/scripts/nn): This library allows the user to exploit full flexibility of [DML language](http://apache.github.io/systemml/dml-language-reference) to implement your neural network. -2. Using the experimental [Caffe2DML API](http://apache.github.io/systemml/beginners-guide-caffe2dml.html): This API allows a model expressed in Caffe's proto format to be imported into SystemML. This API **doesnot** require Caffe to be installed on your SystemML. -3. Using the experimental [Keras2DML API](http://apache.github.io/systemml/beginners-guide-keras2dml.html): This API allows a model expressed in Keras's API to be imported into SystemML. However, this API requires Keras to be installed on your driver. +2. Using the experimental [Caffe2DML API](http://apache.github.io/systemml/beginners-guide-caffe2dml.html): This API allows a model expressed in Caffe's proto format to be imported into SystemDS. This API **doesnot** require Caffe to be installed on your SystemDS. +3. Using the experimental [Keras2DML API](http://apache.github.io/systemml/beginners-guide-keras2dml.html): This API allows a model expressed in Keras's API to be imported into SystemDS. However, this API requires Keras to be installed on your driver. | | NN library | Caffe2DML | Keras2DML | |------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------| | External dependency | None | None | Keras | | Ability to add custom layers | Yes | No | No | | The user needs to know | [DML](http://apache.github.io/systemml/dml-language-reference) | [Caffe's proto API](http://apache.github.io/systemml/reference-guide-caffe2dml#layers-supported-in-caffe2dml) | [Keras' API](https://keras.io/models/about-keras-models/) | -| Can be invoked using pyspark | Yes. Please see [Python MLContext API](http://apache.github.io/systemml/spark-mlcontext-programming-guide) | Yes. | Yes. | -| Can be invoked using spark-shell | Yes. Please see [Scala MLContext API](http://apache.github.io/systemml/spark-mlcontext-programming-guide) | Limited support | No | +| Can be invoked using pyspark | Yes. Please see [Python DSContext API](http://apache.github.io/systemml/spark-mlcontext-programming-guide) | Yes. | Yes. | Review comment: Can this `MLContext` -> `DLContext` change be reverted, as discussed (https://github.com/apache/systemml/pull/877#issuecomment-610867367) ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
