Techniques and tools to monitor and evaluate machine learning models examples for use in Pluralsight Monitor and Evaluate Model Performance During Training video course. Below you can find a list of technologies used in the demos, along with their respective versions:
| Technology | Version |
|---|---|
| Python | 3.10.12 |
| TensorFlow | 2.14.0 |
| TensorBoard | 1.5.1 |
| NumPy | 1.23.5 |
| Pandas | 1.5.3 |
| Matplotlib | 3.7.1 |
| Scikit-learn | 1.2.2 |
| Google Colab | Latest Version |
- Demo 01 Evaluate Model Performance
- Demo 02 Interpreting Model Performance
- Demo 03 Visualization of Training Progress
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