Neural Network Projects with Python
The ultimate guide to using Python to explore the true power of neural networks through six projects
Published on 3. June 2024
308 pages
978-1-78913-331-8 (ISBN)
Description
No detailed description available for "Neural Network Projects with Python".
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Edition
Digital original
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Digital original
ISBN-13
978-1-78913-331-8 (9781789133318)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
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James Loy
Neural Network Projects with Python
The ultimate guide to using Python to explore the true power of neural networks through six projects
Book
02/2019
Packt Publishing
€51.20
Shipment within 3-4 weeks
Person
Loy James :
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.
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.
Content
Table of Contents
Machine Learning and Neural Networks 101
Predicting Diabetes with Multilayer Perceptrons
Predicting Taxi Fares with Deep Feedforward Networks
Cats Versus Dogs - Image Classification Using CNNs
Removing Noise from Images Using Autoencoders
Sentiment Analysis of Movie Reviews Using LSTM
Implementing a Facial Recognition System with Neural Networks
What
Machine Learning and Neural Networks 101
Predicting Diabetes with Multilayer Perceptrons
Predicting Taxi Fares with Deep Feedforward Networks
Cats Versus Dogs - Image Classification Using CNNs
Removing Noise from Images Using Autoencoders
Sentiment Analysis of Movie Reviews Using LSTM
Implementing a Facial Recognition System with Neural Networks
What
