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**Sequential** → Linear stack of layers\n  - **Dense** → Fully connected layer\n  - **Dropout** → Reduces overfitting\n\n---\n\n## ⚖️ Underfitting vs Overfitting\n\n### 🔹 Underfitting\n\nModel too simple → poor performance on train \u0026 test.\n**Fix:** Add layers/neurons, train longer, lower LR, reduce regularization.\n\n### 🔹 Overfitting\n\nModel too complex → memorizes training, fails on test.\n**Fix:** Dropout, L2 regularization, early stopping, data augmentation, reduce complexity.\n\n---\n\n## 📊 Comparison\n\n| Feature           | Underfitting 🟡 | Good Fit 🟢 | Overfitting 🔴 |\n| ----------------- | --------------- | ----------- | -------------- |\n| Training Accuracy | Low             | High        | Very High      |\n| Test Accuracy     | Low             | High        | Low            |\n| Model Complexity  | Too simple      | Balanced    | Too complex    |\n| Generalization    | Poor            | Good        | Poor           |\n\n---\n\n## 🎯 Dropout\n\n- Randomly drops neurons (prob _p_) during training.\n- Prevents reliance on specific neurons → robust features.\n- **Training:** scale surviving neurons `1/(1-p)`\n- **Testing:** dropout off, scaling handled automatically.\n- Best for large models, avoid overuse on small datasets.\n\n---\n\n## 🛠️ Ways to Reduce Overfitting\n\n- Dropout\n- L1/L2 Regularization\n- Early Stopping\n- Data Augmentation\n- Batch Normalization\n- Reduce Model Complexity\n- Cross-Validation\n\n---\n\n## ✅ Rule of Thumb\n\n- **Underfitting:** Increase complexity, train longer.\n- **Overfitting:** Add regularization, dropout, early stopping, augmentation.\n\n📌 **Goal:** Achieve balance → model should **generalize well** to unseen data.\n\n# Keras Tuner - HyperParameter Tuning of models:\n\n### For understanding of KerasTuner, refer to the [KerasTuner Readme](./2-kerasTuner/Readme.md).\n\n# Embeddings with keras and tensoflow :\n\n### For understanding of Embeddings, refer to the [Embeddings Readme](./5-WordEmbeddings/Readme.md).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F264gaurav%2Fdeep-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F264gaurav%2Fdeep-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F264gaurav%2Fdeep-learning/lists"}