Tag: TensorFlow

An overview of best practices for implementing ML systems – Part 1

In this series of blog posts, we will recommend some best practices identified from our own failures and successes throughout our time implementing machine learning (ML) systems. We won’t discuss ML techniques here, but instead, provide an upper-level overview of…

Read More >

Examining distributed training of Keras Models

Creating deep learning models using Keras is pretty straightforward, which is why Keras is often used for prototyping and creating proof-of-concept products. But when it comes to using it for training bigger models or using very big datasets, we need…

Read More >

Exploring Amazon SageMaker

Amazon SageMaker is another cloud-based fully managed data analytics/ machine learning modeling platform for designing, building and deploying data models. The key selling point of Amazon SageMaker is “zero-setup”. The concept of “zero-setup” means data science teams can entirely focus…

Read More >