Hands-on tutorials for PyTorch and TensorFlow enable deep understanding of neural network development
Utilizes PySpark for efficient distributed data processing on AWS infrastructure
Orchestration of complex workflows with Apache Airflow streamlines model training and deployment
Detailed AWS environment setup and configuration for scalable deep learning architectures
In-depth coverage of data preprocessing, feature engineering, model training, evaluation, and deployment
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This book is your comprehensive guide to creating powerful, end-to-end deep learning workflows on Amazon Web Services (AWS). The book explores how to integrate essential big data tools and technologies--such as PySpark, PyTorch, TensorFlow, Airflow, EC2, and S3--to streamline the de