cnvrg.io Workshop
Follow this 4 part tutorial of using the platform and become a cnvrg.io expert! Start with workspace for development, running ML experiments, building Flows and deploying models!
Part 1: Workspaces
- Hosted IDE Version
- Controlled File System
- GIT Integration
- Tensorboard
- Scalable Compute
- Docker Image Selection
- Intel Optimized Contaainers
- NVIDIA optimized containers
Part 2: Experiments
- Job Tracking
- Resource Monitoring
- Charts and Visualizations
- Metrics Tracking
- Configuration
- Versioning
- Hyperparameter Optimization
- Parameter Overrides
- SDK
Part 3: Flows Features
- Automated Pipelines
- Visual Designer
- Library of Components
- Continual Learning
- Human “in the loop” Validation
- Automated Deployments
- Experiment Integration
Part 4: Serving Options
- Fully Hosted Inference Endpoints
- Kafka Stream Real Time Scoring
- Tensorflow Serving
- Batch Inference
- REST API Inference
- Model Tracking
- Model Versioning and Rollback Continuous Monitoring
- Automated Retraining and Redeployment
- Charts