Exploring Cs 155 Winter 2018 Lecture 5
Let's dive into the details surrounding Cs 155 Winter 2018 Lecture 5.
- SVMs, Logistic Regression, Neural Nets, Loss Functions, Evaluation Metrics.
- Regularization.
- Okay so to the extent that this class shares significant overlap with
- Introduction to Deep Learning.
- Embeddings.
In-Depth Information on Cs 155 Winter 2018 Lecture 5
Decision Trees, Bagging, Random Forests. Perceptron & Gradient Descent. General Q&A, mostly about final exam. Deep Generative Models.
Boosting & Ensemble Selection.
That wraps up our extensive overview of Cs 155 Winter 2018 Lecture 5.
