LLM Chronicles #3.5: Evaluation, Overfitting and Underfitting + Bonus Lab скачать в хорошем качестве

LLM Chronicles #3.5: Evaluation, Overfitting and Underfitting + Bonus Lab

In this episode we look at common metrics to evaluate our models, such as accuracy, precision and recall. We also look at overfitting and underfitting, two common issues that can arise when training models, and what we can do to mitigate them. Series website: https://llm-chronicles.com/ 🖹 Download the mindmap for this episode here: Evaluation Metrics, Overfitting and Underfitting: https://llm-chronicles.com/pdfs/llm-c... 🕤 Timestamps: 00:05 - Introduction 00:35 - Evaluating Models 01:40 - Accuracy, Precision and Recall 03:12 - Confusion Matrix 04:15 - Overfitting and Underfitting 05:02 - Regularization (L1/L2, Dropout) 06:08 - Data Augmentation and Improving Models 07:38 - Bonus Lab: Evaluting the MNIST Model 11:41 - Bonus Lab: Building the Confusion Matrix 📚 References & Acknowledgements: https://towardsdatascience.com/should...