Keras 2.x Projects
9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras
Published on 23. September 2024
394 pages
978-1-78953-416-0 (ISBN)
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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
Product notice
Reflowable
File size
35,24 MB
ISBN-13
978-1-78953-416-0 (9781789534160)
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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Giuseppe Ciaburro
Keras 2.x Projects
9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras
Book
12/2018
Packt Publishing
€56.80
Shipment within 3-4 weeks
Person
Ciaburro Giuseppe :
Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Universita 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).
Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Universita 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).
Content
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?
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?
