Features

1. Model Weights, Biases and Gradients Tracking and plotting on histogram.

_images/histogram.png

2. Visualizing the distribution of above described Model parameters.

_images/distribution.png

3. Generating an interactive graph of the entire Model

_images/model_graph.png

4. Graph of Precision, Recall and F1 Score for all the classes for each epoch.

_images/per_class.png

5. Graph of Macro Avg and Weighted Avg of Precision, Recall and F1-score for each epoch.

_images/weighted_avg.png

6. Training and Validation Loss tracking for each epoch.

_images/loss.png

7. Accuracy and MCC metric tracking at each epoch.

_images/accuracy.png _images/mcc.png

8. Generating Confusion Matrix after certain number of epochs.

_images/valid_prediction_cm.png

9. Bar Graph for False Positive and False Negative count for each class.

_images/valid_prediction_misclassifcation.png

10. Scatter Plot for the predicited probabilities.

_images/predicted_probability.png

11. Hyparameter Tracking for comparing experiments.

_images/hparams.png