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Deep Learning For Dummies Paperback – May 14 2019
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Take a deep dive into deep learningÂ
Deep learning provides the means for discerning patterns in the data that drive online business and social media outlets. Deep Learning for Dummies gives you the information you need to take the mystery out of the topic―and all of the underlying technologies associated with it.  Â
In no time, you’ll make sense of those increasingly confusing algorithms, and find a simple and safe environment to experiment with deep learning. The book develops a sense of precisely what deep learning can do at a high level and then provides examples of the major deep learning application types.
- Includes sample code
- Provides real-world examples within the approachable text
- Offers hands-on activities to make learning easier
- Shows you how to use Deep Learning more effectively with the right tools
This book is perfect for those who want to better understand the basis of the underlying technologies that we use each and every day. Â
- ISBN-101119543045
- ISBN-13978-1119543046
- Edition1st
- PublisherFor Dummies
- Publication dateMay 14 2019
- LanguageEnglish
- Dimensions18.8 x 2.29 x 23.11 cm
- Print length368 pages
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Product description
From the Inside Flap
- Learn how deep learning is an essential technology
- Experiment with deep learning in a Python environment
- See examples of major deep learning application types
Dive deep into deep learning
Deep learning provides the means for discerning patterns in the data that drive online business, medicine, research, social media outlets, and many elements of daily life. This book gives you the information you need to take the mystery out of the topicand all of the underlying technologies associated with it.??In no time, you'll make sense of those increasingly confusing algorithms, and find a simple and safe environment to experiment with deep learning.
Inside...
- Create examples using TensorFlow and Keras
- Benefit from hands-on activities to make learning easier
- Use deep learning more effectively with the right tools
- Make sense of complex algorithms
From the Back Cover
- Learn how deep learning is an essential technology
- Experiment with deep learning in a Python environment
- See examples of major deep learning application types
Dive deep into deep learning
Deep learning provides the means for discerning patterns in the data that drive online business, medicine, research, social media outlets, and many elements of daily life. This book gives you the information you need to take the mystery out of the topic—and all of the underlying technologies associated with it.??In no time, you'll make sense of those increasingly confusing algorithms, and find a simple and safe environment to experiment with deep learning.
Inside...
- Create examples using TensorFlow and Keras
- Benefit from hands-on activities to make learning easier
- Use deep learning more effectively with the right tools
- Make sense of complex algorithms
About the Author
John Paul Mueller is the author of over 100 books including AI for Dummies, Python for Data Science for Dummies, Machine Learning for Dummies, and Algorithms for Dummies. Luca Massaron is a data scientist who interprets big data and transforms it into smart data by means of the simplest and most effective data mining and machine learning techniques. He is a Google Developer Expert (GDE) in machine learning.
Product details
- Publisher : For Dummies; 1st edition (May 14 2019)
- Language : English
- Paperback : 368 pages
- ISBN-10 : 1119543045
- ISBN-13 : 978-1119543046
- Item weight : 660 g
- Dimensions : 18.8 x 2.29 x 23.11 cm
- Best Sellers Rank: #63,485 in Books (See Top 100 in Books)
- #137 in Programming Languages Textbooks
- #180 in Software Architecture
- Customer Reviews:
About the author

Luca Massaron is a data scientist and a research director specialized in multivariate statistical analysis, machine learning and customer insight with over a decade of experience in solving real world problems and in generating value for stakeholders by applying reasoning, statistics, data mining and algorithms. From being a pioneer of Web audience analysis in Italy to achieving the rank of top ten data scientist at competitions held by kaggle.com, he has always been passionate about everything regarding data and analysis and about demonstrating the potentiality of data-driven knowledge discovery to both experts and non-experts. Favouring simplicity over unnecessary sophistication, he believes that a lot can be achieved in data science just by doing the essential.
Customer reviews
Top reviews from other countries

But I appreciate this book anyway.
I think the intention is good.
I would add:
- explanations to each line of the code.
- shorten some sentences and make them clean
- add more explanations in every area