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Design Patterns of Deep Learning with TensorFlow
Paperback
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- Book Synopsis
- Design Patterns of Deep Learning with TensorFlow is your comprehensive guide to learning deep learning from a design pattern perspective. In this book, we explore deep learning within the context of building hyper-personalization models, exploring its applications across various industries and scenarios. It starts by showing how deep learning enhances retail through customer segmentation and data analysis. You will learn neural networks, computer vision with CNNs, and NLP for analyzing customer behavior. This book addresses challenges like uneven data and optimizing models with techniques like backpropagation, hyperparameter tuning, and transfer learning. Finally, it covers setting up data pipelines and deploying your system. With practical tips and actionable advice, this book equips readers with the skills and strategies needed to thrive in today's competitive AI landscape.
- About The Author
- Thomas V Joseph is a seasoned professional with over 23 years of extensive experience. He currently leads the Data Science and Analytics function at Hogarth Worldwide, focusing on building creative analytics data products for multiple brands. He has diverse industry background spanning Telecom, Healthcare, Retail, Manufacturing, Edtech, Infrastructure, and Fintech, and is a known author of published works on AI/ML.
- Product Details
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- ISBN
- 9789355516497
- Format
- Paperback
- Publisher
- BPB Publications, (07 July 2024)
- Number of Pages
- 376
- Weight
- 638 grams
- Language
- English
- Dimensions
- 235 x 191 x 20 mm
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