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Guide to Convolutional Neural Networks: A Pr… by Jahani Heravi, Elnaz Hardback

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Guide to Convolutional Neural Networks: A Practical Overview by Jahani Heravi and Elnaz Hardback

In this comprehensive guide, authors Jahani Heravi and Elnaz Hardback provide a practical overview of Convolutional Neural Networks (CNNs) – a powerful deep learning technique widely used in image recognition, computer vision, and natural language processing.

This book is designed for beginners and intermediate learners interested in understanding CNNs and how they can be applied in various real-world applications. The authors cover the fundamental concepts of CNNs, including convolutional layers, pooling layers, activation functions, and fully connected layers.

Readers will also learn about key techniques for improving the performance of CNNs, such as data augmentation, transfer learning, and hyperparameter tuning. The authors provide hands-on examples and code snippets using popular deep learning frameworks like TensorFlow and PyTorch.

Whether you are a student, researcher, or industry professional looking to enhance your knowledge of CNNs, this guide is a valuable resource to help you master this essential deep learning technique.
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