Json Schema Patterns in .NET - Working with tensors

In this post, we explore how to work with tensors using common patterns in C# and JSON schema. This involves converting tensors to and from numeric spans, which is a useful technique for working with matrix representations of data. By following the patterns outlined in this post, we can simplify our code and reduce complexity when working with tensors.

Working with tensors involves breaking down data into smaller chunks for analysis. By converting tensors to numeric spans, we can leverage the power of C# to manipulate these chunks in memory. This is beneficial when working with large datasets, as it can significantly improve performance and reduce memory usage.

Additionally, by adhering to common best-practices in JSON schema design, we can achieve greater flexibility and extensibility in our code. Overall, this post serves as a valuable resource for those looking to improve their skills in C# and JSON schema design, especially when working with tensors.

For more detailed information about these patterns, check out the link below.

Link: https://endjin.com/blog/2024/05/json-schema-patterns-dotnet-working-with-tensors.html