Data transformation alone may not improve the neural network's efficiency. The existence of large and small ranges of values within the same dataset can lead to overfitting (the model captures noise rather than signals). To avoid these situations, we normalize the dataset, and there are multiple DL4J implementations to do this. The normalization process converts and fits the raw time series data into a definite value range, for example, (0, 1). This will help the neural network process the data with less computational effort. We also discussed normalization in previous chapters, showing that it will reduce favoritism toward any specific label in the dataset while training a neural network.
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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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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