Explore how to integrate deep learning libraries Tensorflow and Pytorch with MLflow in this 30-minute video tutorial. Learn to leverage MLflow's capabilities for managing and tracking deep learning experiments using popular frameworks. Follow along with provided code examples to implement MLflow with Tensorflow and Pytorch flavors, enhancing your MLOps workflow for deep learning projects. Access the accompanying Jupyter notebooks on GitHub to practice and expand your understanding of MLflow's integration with these powerful deep learning tools.
MLOps MLflow: Deep Learning Frameworks - PyTorch and TensorFlow Integration
The Machine Learning Engineer via YouTube
Overview
Syllabus
MlOps Mlflow: Deep Learning Frameworks Pytorch and Tensorflow in Mlflow
Taught by
The Machine Learning Engineer
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