Building Scalable Deep Learning Pipelines on AWS
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Building Scalable Deep Learning Pipelines on AWS
Develop, Train, and Deploy Deep Learning Models
Testas, Abdelaziz
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
12/2024
760
Mole
9798868810169
15 a 20 dias
Descrição não disponível.
Chapter 1: Overview of Scalable Deep Learning Pipelines on AWS.- Chapter 2: Setting Up a Deep Learning Environment on AWS.- Chapter 3: Data Preparation with PySpark for Deep Learning.- Chapter 4: Deep Learning with PyTorch for Regression.- Chapter 5: Deep Learning with TensorFlow for Regression.- Chapter 6: Deep Learning with PyTorch for Classification.- Chapter 7: Deep Learning with TensorFlow for Classification.- Chapter 8: Scalable Deep Learning Pipelines with Apache Airflow.- Chapter 9: Techniques for Improving Model Performance.- Chapter 10: Deploying and Monitoring Deep Learning Models.
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Artiicial Intelligence;Machine Learning;AWS;Python;TensorFlow;Deep Learning;PySpark;PyTorch
Chapter 1: Overview of Scalable Deep Learning Pipelines on AWS.- Chapter 2: Setting Up a Deep Learning Environment on AWS.- Chapter 3: Data Preparation with PySpark for Deep Learning.- Chapter 4: Deep Learning with PyTorch for Regression.- Chapter 5: Deep Learning with TensorFlow for Regression.- Chapter 6: Deep Learning with PyTorch for Classification.- Chapter 7: Deep Learning with TensorFlow for Classification.- Chapter 8: Scalable Deep Learning Pipelines with Apache Airflow.- Chapter 9: Techniques for Improving Model Performance.- Chapter 10: Deploying and Monitoring Deep Learning Models.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
