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Building Deep Learning Models on Databricks

Janani Ravi

In this course, you will learn to train neural network models using TensorFlow and PyTorch, perform distributed training using the Horovod framework, and perform hyperparameter tuning using Hyperopt. The Databricks Data Lakehouse platform offers a managed environment to train and compare your deep learning models, perform hyperparameter tuning, and productionize and serve your models.

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What's inside

Syllabus

> Course Overview
> Introducing MLflow on Databricks
... and three others

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Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Building Deep Learning Models on Databricks.
Deep Learning with Python, Second Edition
This book is helpful in providing background
Reinforcement Learning, second edition
This book provides a comprehensive introduction
Text Analytics with Python
This book offers a practical guide to transfer
Mathematics for Machine Learning
This book provides a detailed coverage of the
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