Building a Deep Learning CNN Classifier project

Workflow

1. Update config.yaml
2. Update secrets.yaml (Optional) #Any sensitive data
3. Update params.yaml
4. Update the entity
5. Update the Configuration Manager in src/deepClassifier
6. Update the components
7. Update the Pipeline
8. Test run the Pipeline
9. Run tox for testing package
10. Update the dvc.yaml
11. Run "dvc repro" for running all the stages in the pipeline

Step 1: Set the env variable MLFLOW_TRACKING_URI=https://dagshub.com/PyBeginner1/Deep-CNN_Classifier.mlflow MLFLOW_TRACKING_USERNAME=PyBeginner1 MLFLOW_TRACKING_PASSWORD=<> \

Step 2: install mlflow Step 3: Set remote URI Step 4: Use context manager of mlflow to start run and then log metrics, params and model