lars/FYS-STK4155
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Morten Hjorth-Jensen
2021-07-23 22:58:42 +02:00
committed by GitHub
parent ac79e032c4
commit 6c7e7f288d
1 changed files with 6 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+6 -6
View File
@@ -229,8 +229,8 @@ The link here https://www.mn.uio.no/english/research/about/centre-focus/innovati
- Chapter
### Week 36 August 30-September 3
- Lab Wednesday:
- Lecture Thursday: Linear Regression, from ordinary linear regression to Ridge regression
- Lecture Friday: Linear Regression, Linear algebra and Ridge Regression
- Lecture Thursday: Linear Regression, from ordinary linear regression to Ridge and Lasso regression
- Lecture Friday: Linear Regression, Linear algebra and Ridge and Lasso Regression
- Reading recommendations:
- Chapter
### Week 37 September 6-10
@@ -242,12 +242,12 @@ The link here https://www.mn.uio.no/english/research/about/centre-focus/innovati
### Week 38 September 13-17
- Lab Wednesday:
- Lecture Thursday: Resampling methods, cross-validation and Bootstrap
- Lecture Friday: More on Resampling methods
- Lecture Friday: More on Resampling methods and summary of linear regression
- Reading recommendations:
- Chapter
### Week 39 September 20-24
- Lab Wednesday:
- Lecture Thursday: Classification problems and Logistic Regression
- Lecture Thursday: Classification problems and Logistic Regression, from binary cases to several categories
- Lecture Friday: Logistic Regression and gradient optimization
- Reading recommendations:
- Chapter
@@ -260,13 +260,13 @@ The link here https://www.mn.uio.no/english/research/about/centre-focus/innovati
### Week 41 October 4-8
- Lab Wednesday:
- Lecture Thursday: Writing a feed-forward Neural Network code for regression and classification
- Lecture Friday: Deep Learning and Tensor flow
- Lecture Friday: Deep Learning and TensorFlow and Keras
- Reading recommendations:
- Chapter
### Week 42 October 11-15
- Lab Wednesday:
- Lecture Thursday: Deep learning and Neural Networks
- Lecture Friday: Convolutional Neural Networks, basics
- Lecture Friday: Convolutional Neural Networks, basic elements
- Reading recommendations:
- GoodFellow et al, Chapter 9
### Week 43 October 18-22