Loy / Unknown Neural Network Projects with Python

The ultimate guide to using Python to explore the true power of neural networks through six projects
1. Auflage 2019
ISBN: 978-1-78913-331-8
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 308 Seiten

No detailed description available for "Neural Network Projects with Python".

Autoren/Hrsg.

Loy, James

Unknown,

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke

Inhaltsverzeichnis

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's Next?

Über Autor(innen)

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.