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You're reading from  Java Deep Learning Cookbook

Product typeBook
Published inNov 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781788995207
Edition1st Edition
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Author (1)
Rahul Raj
Rahul Raj
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Rahul Raj

Rahul Raj has more than 7 years of IT industry experience in software development, business analysis, client communication, and consulting on medium-/large-scale projects in multiple domains. Currently, he works as a lead software engineer in a top software development firm. He has extensive experience in development activities comprising requirement analysis, design, coding, implementation, code review, testing, user training, and enhancements. He has written a number of articles about neural networks in Java and they are featured by DL4J/ official Java community channels. He is also a certified machine learning professional, certified by Vskills, the largest government certification body in India.
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Constructing output layers

As a final step, we need to decode the data back from the encoded state. Are we able to reconstruct the input just the way it is? If yes, then it's all good. Otherwise, we need to calculate an associated reconstruction error. Remember that the incoming connections to the output layer should be the same as the outgoing connections from the preceding layer.

How to do it...

  1. Create an output layer using OutputLayer:
OutputLayer outputLayer = new OutputLayer.Builder().nIn(250).nOut(784)
.lossFunction(LossFunctions.LossFunction.MSE)
.build();
  1. Add OutputLayer to the layer definitions:
builder.layer(new OutputLayer.Builder().nIn(250).nOut(784)
.lossFunction(LossFunctions.LossFunction.MSE)
.build...
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Java Deep Learning Cookbook
Published in: Nov 2019Publisher: PacktISBN-13: 9781788995207

Author (1)

author image
Rahul Raj

Rahul Raj has more than 7 years of IT industry experience in software development, business analysis, client communication, and consulting on medium-/large-scale projects in multiple domains. Currently, he works as a lead software engineer in a top software development firm. He has extensive experience in development activities comprising requirement analysis, design, coding, implementation, code review, testing, user training, and enhancements. He has written a number of articles about neural networks in Java and they are featured by DL4J/ official Java community channels. He is also a certified machine learning professional, certified by Vskills, the largest government certification body in India.
Read more about Rahul Raj