Production ML for Mission-Critical Applications
Explore rigorous approaches for deploying ML in production, addressing scalability, testability, and performance analysis. Learn about TensorFlow Extended for large-scale applications.
Coding TensorFlow
Comprehensive series exploring TensorFlow's capabilities, from basics to advanced topics like NLP, computer vision, and recommendation systems. Hands-on coding tutorials for various ML applications.
TensorFlow Extended - TFX Overview and Pre-Training Workflow
Explore TensorFlow Extended's pre-training workflow, focusing on data validation and transformation for robust machine learning pipelines. Learn key components and best practices for efficient ML development.
Deploying ML at Scale with Kubernetes and TFX
Learn to deploy machine learning models at scale using Kubernetes and TensorFlow Extended (TFX), enhancing your ability to manage and scale ML workflows efficiently.
A Year of Democratizing ML With Kubernetes & Kubeflow
Explore Kubeflow 1.0's new features for democratizing machine learning on Kubernetes, including web-based UI, simplified setup, and sophisticated ML tooling for end-to-end solutions.
Bringing Structure Into an Unstructured World - Applying State-of-the-Art Machine Learning at Digits
Explore how Digits applies transformer models to extract structured information from unstructured financial data and deploys ML experiments in production using TensorFlow.