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You're reading from  Neural Network Projects with Python

Product typeBook
Published inFeb 2019
Reading LevelBeginner
PublisherPackt
ISBN-139781789138900
Edition1st Edition
Languages
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Author (1)
James Loy
James Loy
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James Loy

James Loy has more than five years, expert experience in data science in the finance and healthcare industries. He has worked with the largest bank in Singapore to drive innovation and improve customer loyalty through predictive analytics. He has also experience in the healthcare sector, where he applied data analytics to improve decision-making in hospitals. He has a master's degree in computer science from Georgia Tech, with a specialization in machine learning. His research interest includes deep learning and applied machine learning, as well as developing computer-vision-based AI agents for automation in industry. He writes on Towards Data Science, a popular machine learning website with more than 3 million views per month.
Read more about James Loy

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Summary

In this chapter, we have seen what machine learning is, and looked at the complete end-to-end workflow for every machine learning project. We have also seen what neural networks and deep learning is, and coded up our own neural network from scratch and in Keras.

For the rest of the book, we will create our own real-world neural network projects. Each chapter will cover one project, and the projects are listed in order of increasing complexity. By the end of the book, you will have created your own neural network projects in medical diagnosis, taxi fare predictions, image classification, sentiment analysis, and much more. In the next chapter, Chapter 2, Predicting Diabetes with Multilayer Perceptrons we will cover diabetes prediction with multilayer perceptrons (MLPs). Let's get started!

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Published in: Feb 2019Publisher: PacktISBN-13: 9781789138900
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Author (1)

author image
James Loy

James Loy has more than five years, expert experience in data science in the finance and healthcare industries. He has worked with the largest bank in Singapore to drive innovation and improve customer loyalty through predictive analytics. He has also experience in the healthcare sector, where he applied data analytics to improve decision-making in hospitals. He has a master's degree in computer science from Georgia Tech, with a specialization in machine learning. His research interest includes deep learning and applied machine learning, as well as developing computer-vision-based AI agents for automation in industry. He writes on Towards Data Science, a popular machine learning website with more than 3 million views per month.
Read more about James Loy