Learning Deep Learning by Magnus Ekman (Author)
- Publisher: COMPUTER SCIENCE
- Availability: In Stock
- SKU: 46536
- Number of Pages: 752
Rs.1,450.00
Rs.1,995.00
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"Learning Deep Learning" by Magnus Ekman is an extensive guide to mastering the foundational and advanced concepts of deep learning. The book covers essential topics such as neural networks, computer vision, natural language processing, and transformers, using TensorFlow as the primary tool for implementation. Ekman's comprehensive approach combines theoretical insights with practical applications, making it an invaluable resource for both beginners and experienced practitioners in the field of artificial intelligence and machine learning.
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Foundations of Deep Learning
Ekman introduces the core principles and mathematical foundations of deep learning, including neural networks, activation functions, and optimization techniques, providing a solid grounding for further study. -
Computer Vision
The book delves into the applications of deep learning in computer vision, exploring topics such as convolutional neural networks (CNNs), image classification, object detection, and image segmentation. -
Natural Language Processing (NLP)
Ekman covers the use of deep learning in NLP, discussing recurrent neural networks (RNNs), long short-term memory (LSTM) networks, and attention mechanisms, along with practical applications like language modeling and text generation. -
Transformers and Advanced Architectures
The text explores advanced deep learning architectures, including transformers and their applications in NLP and beyond, highlighting their role in achieving state-of-the-art results in various tasks. -
Practical Implementation with TensorFlow
Ekman provides hands-on guidance on implementing deep learning models using TensorFlow, with detailed code examples and step-by-step instructions, enabling readers to apply theoretical concepts in practical scenarios.
Conclusion
"Learning Deep Learning" by Magnus Ekman is a comprehensive and practical guide that equips readers with the knowledge and skills to master deep learning techniques. Covering foundational theories and advanced applications in computer vision, NLP, and transformers, and providing practical implementation advice with TensorFlow, this book is an essential resource for anyone looking to excel in the field of deep learning.
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Writer ✤ Magnus Ekman (Author)
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