Ciaburro Keras 2.x Projects

9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras
1. Auflage 2018
ISBN: 978-1-78953-416-0
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 394 Seiten

No detailed description available for "Keras 2.x Projects".

Autoren/Hrsg.

Ciaburro, Giuseppe

Fachgebiete

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

Inhaltsverzeichnis

Table of Contents - Getting Started With Keras
- Modeling Real Estate Market Using Regression Analysis
- Heart Disease Classification With A Neural Network
- Concrete Quality Prediction Using Deep Neural Network
- Fashion Articles Recognition By A Convolutional Neural Network
- Movie Reviews Sentiment Analysis Using Recurrent Neural Network
- Stock Volatility Forecasting Using Long Short-Term Memory
- Reconstruction Of Handwritten Digit Images Using Autoencoder
- Robot control system using Deep Reinforcement Learning
- Reuters newswire topics classifier in Keras
- What is next?

Über Autor(innen)

Ciaburro Giuseppe:

Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli". He has over 25 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in MATLAB, Python and R. As an expert in AI applications to acoustics and noise control problems, Giuseppe has wide experience in researching and teaching. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He was recently included in the world's top 2% scientists list by Stanford University (2022).