Design Patterns of DL with TensorFlow by Thomas V. Joseph (.PDF)
File Size: 37.4 MB
Design Patterns of Deep Learning with TensorFlow: Building a customer hyper-personalisation ecosystem using deep learning design patterns by Thomas V. Joseph
Requirements: .PDF reader, 37.4 MB | True PDF
Overview: Architecting AI: Design patterns for building Deep Learning products. 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. By the end of this book, you will be equipped with the knowledge and practical skills to build and deploy Deep Learning-powered hyper-personalization systems that deliver exceptional customer experiences. This book caters to both beginners and experienced practitioners in the field of Data Science and Machine Learning. Through practical examples, it simplifies complex ideas, linking them to design patterns.
Genre: Non-Fiction > Tech & Devices
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