A roadmap for beginner
https://deeplearning4j.org/deeplearningforbeginners.htmllocal folder = D:\dl4j-examples\tutorials\src
5/12/2017
Within IntelliJ, you will need to choose the first Deeplearning4j example you’re going to run. We suggest
MLPClassifierLinear, as you will almost immediately see the network classify two groups of data in our UI. The file on Github can be found here.
source code path
C:\Users\WGONG\Documents\GitHub\dl4j-examples\dl4j-examples\src\main\java\org\deeplearning4j\examples\feedforward\classification\MLPClassifierLinear.java
5/12/2017
MNIST for Beginners
https://deeplearning4j.org/mnist-for-beginners
In this tutorial, we’ll classify the MNIST dataset, the “Hello World” of machine learning
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==========================Scores====================================
Accuracy: 0.9728
Precision: 0.9728
Recall: 0.9725
F1 Score: 0.9726
====================================================================
o.d.e.f.m.MLPMnistSingleLayerExample - ****************Example finished*
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