Hands-on tutorials for PyTorch and TensorFlow enable practical deep learning experience
Utilizes PySpark for efficient distributed data processing on AWS infrastructure
Orchestration of complex workflows with Apache Airflow streamlines model development
Comprehensive AWS service integration maximizes scalability and performance
Step-by-step guidance for data preprocessing, feature engineering, training, evaluation, and deployment
Summarized by Shop
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 development, training, and deployment of deep learning models