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You're reading from  Applied Deep Learning and Computer Vision for Self-Driving Cars

Product typeBook
Published inAug 2020
Reading LevelIntermediate
PublisherPackt
ISBN-139781838646301
Edition1st Edition
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Authors (2):
Sumit Ranjan
Sumit Ranjan
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Sumit Ranjan

Sumit Ranjan is a silver medalist in his Bachelor of Technology (Electronics and Telecommunication) degree. He is a passionate data scientist who has worked on solving business problems to build an unparalleled customer experience across domains such as, automobile, healthcare, semi-conductor, cloud-virtualization, and insurance. He is experienced in building applied machine learning, computer vision, and deep learning solutions, to meet real-world needs. He was awarded Autonomous Self-Driving Car Scholar by KPIT Technologies. He has also worked on multiple research projects at Mercedes Benz Research and Development. Apart from work, his hobbies are traveling and exploring new places, wildlife photography, and blogging.
Read more about Sumit Ranjan

Dr. S. Senthamilarasu
Dr. S. Senthamilarasu
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Dr. S. Senthamilarasu

Dr. S. Senthamilarasu was born and raised in the Coimbatore, Tamil Nadu. He is a technologist, designer, speaker, storyteller, journal reviewer educator, and researcher. He loves to learn new technologies and solves real world problems in the IT industry. He has published various journals and research papers and has presented at various international conferences. His research areas include data mining, image processing, and neural network. He loves reading Tamil novels and involves himself in social activities. He has also received silver medals in international exhibitions for his research products for children with an autism disorder. He currently lives in Bangalore and is working closely with lead clients.
Read more about Dr. S. Senthamilarasu

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Model training-specific hyperparameters

Model training-specific hyperparameters play an important role in model training. These are hyperparameters that live outside the model but have a direct influence on it. We will discuss the following hyperparameters:

  • Learning rate
  • Batch size
  • Number of epochs

Let's start with the learning rate.

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Applied Deep Learning and Computer Vision for Self-Driving Cars
Published in: Aug 2020Publisher: PacktISBN-13: 9781838646301

Authors (2)

author image
Sumit Ranjan

Sumit Ranjan is a silver medalist in his Bachelor of Technology (Electronics and Telecommunication) degree. He is a passionate data scientist who has worked on solving business problems to build an unparalleled customer experience across domains such as, automobile, healthcare, semi-conductor, cloud-virtualization, and insurance. He is experienced in building applied machine learning, computer vision, and deep learning solutions, to meet real-world needs. He was awarded Autonomous Self-Driving Car Scholar by KPIT Technologies. He has also worked on multiple research projects at Mercedes Benz Research and Development. Apart from work, his hobbies are traveling and exploring new places, wildlife photography, and blogging.
Read more about Sumit Ranjan

author image
Dr. S. Senthamilarasu

Dr. S. Senthamilarasu was born and raised in the Coimbatore, Tamil Nadu. He is a technologist, designer, speaker, storyteller, journal reviewer educator, and researcher. He loves to learn new technologies and solves real world problems in the IT industry. He has published various journals and research papers and has presented at various international conferences. His research areas include data mining, image processing, and neural network. He loves reading Tamil novels and involves himself in social activities. He has also received silver medals in international exhibitions for his research products for children with an autism disorder. He currently lives in Bangalore and is working closely with lead clients.
Read more about Dr. S. Senthamilarasu