Deep Learning For Eeg-based Brain-computer Interfaces: Representations, Algorithms And Applications, Lina Yao, Xiang Zhang

Автор: Kar Krishnendu
Название: Mastering Computer Vision with TensorFlow 2.x: Build advanced computer vision applications using machine learning and deep learning techniques
ISBN: 1838827064 ISBN-13(EAN): 9781838827069
Издательство: Неизвестно
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Цена: 60070.00 T
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Описание: You will learn the principles of computer vision and deep learning, and understand various models and architectures with their pros and cons. You will learn how to use TensorFlow 2.x to build your own neural network model and apply it to various computer vision tasks such as image acquiring, processing, and analyzing.

Автор: Ayyadevara V. Kishore, Reddy Yeshwanth
Название: Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications
ISBN: 1839213477 ISBN-13(EAN): 9781839213472
Издательство: Неизвестно
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Цена: 80910.00 T
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Описание: Starting from the basics of neural networks, this book covers over 50 applications of computer vision and helps you to gain a solid understanding of the theory of various architectures before implementing them. Each use case is accompanied by a notebook in GitHub with ready-to-execute code and self-assessment questions.

Автор: Tsihrintzis George A., Jain Lakhmi C.
Название: Machine Learning Paradigms: Advances in Deep Learning-Based Technological Applications
ISBN: 3030497232 ISBN-13(EAN): 9783030497231
Издательство: Springer
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Цена: 139750.00 T
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Описание: Chapter 1: Introduction to Deep Learning-based Technological Applications.- Chapter 2: Vision to Language: Methods, Metrics and Datasets.- Chapter 3: Deep Learning Techniques for Geospatial Data Analysis.- Chapter 4: Deep Learning Approaches in Food Recognition.- Chapter 5: Deep Learning for Twitter Sentiment Analysis: the Effect of pre-trained Word Embedding.- Chapter 6: A Good Defense is a Strong DNN: Defending the IoT with Deep Neural Networks.- Chapter 7: Survey on Deep Learning Techniques for Medical Imaging Application Area.- Chapter 8: Deep Learning Methods in Electroencephalography.