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Deep Learning | By Amlan Chakrabarti, Amit Kumar Das, Saptarsi Goswami, Pabitra Mitra | 1st Edition | Pearson Publication( English Medium)

538-679
[Shipping Cost = Standard Mode, Expedite Mode]
Deep Learning | By Amlan Chakrabarti, Amit Kumar Das, Saptarsi Goswami, Pabitra Mitra | 1st Edition | Pearson Publication( English Medium)


Deep Learning is a comprehensive guide to understanding the concepts and applications of deep learning in the field of artificial intelligence. Authored by Amlan Chakrabarti, Amit Kumar Das, Saptarsi Goswami, and Pabitra Mitra, this book is designed for students, researchers, and professionals who want to delve deeper into the world of deep learning. The book covers a wide range of topics related to deep learning, including neural networks, convolutional neural networks, recurrent neural networks, reinforcement learning, and more. It provides a detailed explanation of the underlying principles behind these technologies and how they can be applied to solve real-world problems. With practical examples and case studies, Deep Learning helps readers understand how to implement deep learning algorithms using popular frameworks such as TensorFlow and Keras. The book also discusses advanced topics such as generative adversarial networks (GANs), transfer learning, and natural language processing. Whether you are new to deep learning or looking to expand your knowledge in this area, Deep Learning offers valuable insights and guidance that will help you stay ahead in the rapidly evolving field of artificial intelligence. Key Features: - Comprehensive coverage of deep learning concepts and applications - Practical examples and case studies for hands-on learning - Implementation guidance using popular frameworks like TensorFlow and Keras - Advanced topics such as GANs, transfer learning, and NLP - Written by experts in the field with years of experience Don't miss out on this essential resource for anyone interested in mastering the principles of deep learning!

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Product Details
SKU / BOOK Code: Pearson-Deep Learning-1st-E
Publisher: Pearson Publication
Author:
Binding Type: Paperback
No. of Pages: 548
ISBN-10: 9354493874
ISBN-13: 978-9354493874
Edition: 1st Edition
Language: English Medium
Publish Year: 2021-06
Weight (g): 650
Product Condition: New
Reading Age: Above 10 Years
Country of Origin: India
Genre: Computers & Internet
Manufacturer: Pearson Publication
Importer: Pearson Publication
Packer: EXAM360
Product Description
Deep Learning | By Amlan Chakrabarti, Amit Kumar Das, Saptarsi Goswami, Pabitra Mitra | 1st Edition | Pearson Publication( English Medium)


Deep Learning is a comprehensive guide to understanding the concepts and applications of deep learning in the field of artificial intelligence. Authored by Amlan Chakrabarti, Amit Kumar Das, Saptarsi Goswami, and Pabitra Mitra, this book is designed for students, researchers, and professionals who want to delve deeper into the world of deep learning. The book covers a wide range of topics related to deep learning, including neural networks, convolutional neural networks, recurrent neural networks, reinforcement learning, and more. It provides a detailed explanation of the underlying principles behind these technologies and how they can be applied to solve real-world problems. With practical examples and case studies, Deep Learning helps readers understand how to implement deep learning algorithms using popular frameworks such as TensorFlow and Keras. The book also discusses advanced topics such as generative adversarial networks (GANs), transfer learning, and natural language processing. Whether you are new to deep learning or looking to expand your knowledge in this area, Deep Learning offers valuable insights and guidance that will help you stay ahead in the rapidly evolving field of artificial intelligence. Key Features: - Comprehensive coverage of deep learning concepts and applications - Practical examples and case studies for hands-on learning - Implementation guidance using popular frameworks like TensorFlow and Keras - Advanced topics such as GANs, transfer learning, and NLP - Written by experts in the field with years of experience Don't miss out on this essential resource for anyone interested in mastering the principles of deep learning!

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