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MLOps MLflow: Deep Learning Frameworks - PyTorch and TensorFlow Integration

Offered By: The Machine Learning Engineer via YouTube

Tags

MLFlow Courses Machine Learning Courses Deep Learning Courses TensorFlow Courses PyTorch Courses MLOps Courses Model Deployment Courses Experiment Tracking Courses

Course Description

Overview

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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.

Syllabus

MlOps Mlflow: Deep Learning Frameworks Pytorch and Tensorflow in Mlflow


Taught by

The Machine Learning Engineer

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