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You're reading from  Practical Convolutional Neural Networks

Product typeBook
Published inFeb 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781788392303
Edition1st Edition
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Authors (3):
Mohit Sewak
Mohit Sewak
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Mohit Sewak

Mohit is a Python programmer with a keen interest in the field of information security. He has completed his Bachelor's degree in technology in computer science from Kurukshetra University, Kurukshetra, and a Master's in engineering (2012) in computer science from Thapar University, Patiala. He is a CEH, ECSA from EC-Council USA. He has worked in IBM, Teramatrix (Startup), and Sapient. He currently doing a Ph.D. from Thapar Institute of Engineering & Technology under Dr. Maninder Singh. He has published several articles in national and international magazines. He is the author of Python Penetration Testing Essentials, Python: Penetration Testing for Developers and Learn Python in 7 days, also by Packt. For more details on the author, you can check the following user name mohitraj.cs
Read more about Mohit Sewak

Md. Rezaul Karim
Md. Rezaul Karim
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Md. Rezaul Karim

Md. Rezaul Karim is a researcher, author, and data science enthusiast with a strong computer science background, coupled with 10 years of research and development experience in machine learning, deep learning, and data mining algorithms to solve emerging bioinformatics research problems by making them explainable. He is passionate about applied machine learning, knowledge graphs, and explainable artificial intelligence (XAI). Currently, he is working as a research scientist at Fraunhofer FIT, Germany. He is also a PhD candidate at RWTH Aachen University, Germany. Before joining FIT, he worked as a researcher at the Insight Centre for Data Analytics, Ireland. Previously, he worked as a lead software engineer at Samsung Electronics, Korea.
Read more about Md. Rezaul Karim

Pradeep Pujari
Pradeep Pujari
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Pradeep Pujari

https://www.linkedin.com/in/ppujari/
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The differences between object detection and image classification

Let's take another example. You are watching the movie 101 Dalmatians, and you want to know how many Dalmatians you can actually count in a given movie scene from that movie. Image Classification could, at best, tell you that there is at least one dog or one Dalmatian (depending upon which level you have trained your classifier for), but not exactly how many of them there are.

Another issue with classification-based models is that they do not tell you where the identified entity in the image is. Many times, this is very important. Say, for example, you saw your neighbor's dog playing with him (Person) and his cat. You took a snap of them and wanted to extract the image of the dog from there to search on the web for its breed or similar dogs like it. The only problem here is that searching...

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Practical Convolutional Neural Networks
Published in: Feb 2018Publisher: PacktISBN-13: 9781788392303

Authors (3)

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Mohit Sewak

Mohit is a Python programmer with a keen interest in the field of information security. He has completed his Bachelor's degree in technology in computer science from Kurukshetra University, Kurukshetra, and a Master's in engineering (2012) in computer science from Thapar University, Patiala. He is a CEH, ECSA from EC-Council USA. He has worked in IBM, Teramatrix (Startup), and Sapient. He currently doing a Ph.D. from Thapar Institute of Engineering & Technology under Dr. Maninder Singh. He has published several articles in national and international magazines. He is the author of Python Penetration Testing Essentials, Python: Penetration Testing for Developers and Learn Python in 7 days, also by Packt. For more details on the author, you can check the following user name mohitraj.cs
Read more about Mohit Sewak

author image
Md. Rezaul Karim

Md. Rezaul Karim is a researcher, author, and data science enthusiast with a strong computer science background, coupled with 10 years of research and development experience in machine learning, deep learning, and data mining algorithms to solve emerging bioinformatics research problems by making them explainable. He is passionate about applied machine learning, knowledge graphs, and explainable artificial intelligence (XAI). Currently, he is working as a research scientist at Fraunhofer FIT, Germany. He is also a PhD candidate at RWTH Aachen University, Germany. Before joining FIT, he worked as a researcher at the Insight Centre for Data Analytics, Ireland. Previously, he worked as a lead software engineer at Samsung Electronics, Korea.
Read more about Md. Rezaul Karim

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Pradeep Pujari

https://www.linkedin.com/in/ppujari/
Read more about Pradeep Pujari