Simplify Data Conversion from Apache Spark to TensorFlow and PyTorch
( go to the article → https://databricks.com/blog/2020/06/16/simplify-data-conversion-from-apache-spark-to-tensorflow-and-pytorch.html )
Petastorm is a popular open-source library from Uber that enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. We are excited to announce that Petastorm 0.9.0 supports the easy conversion of data from Apache Spark DataFrame to TensorFlow Dataset and PyTorch DataLoader. The new Spark Dataset […]
The post Simplify Data Conversion from Apache Spark to TensorFlow and PyTorch appeared first on Databricks.
You may be interested in:
Newest in: Deep Learning
How AI Will Shape the Future of Customer Communications
Driving with Data: How AI is Personalizing the Auto Insurance Industry and Saving Lives
AI-driven Platform Identifies and Remediates Biases in Data
-Newest in: Spark
How to Manage Python Dependencies in PySpark
Natively Query Your Delta Lake With Scala, Java, and Python
A Step-by-step Guide for Debugging Memory Leaks in Spark Applications
-Newest in: Tensorflow
A Machine Learning Approach to Predicting Loan Defaults
-
