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Expand Up @@ -13,42 +13,42 @@ Meeting ID: 642 499 7467
Passcode: FYS4411


Furthermore, all teaching material (it will be updated continuously) is available from this GitHub link.
Furthermore, all teaching material is available from this GitHub link.

## January 15-19: Presentation of couse, Review of Neural Networks and Deep Learning and discussion of possible projects
## January 15-19: Presentation of couse, review of neural networks and deep Learning and discussion of possible projects

- Presentation of course and participants
- Discussion of possible projects
- Deep learning, neural networks, basic equations
- Recommende reading Goodfellow et al chapters 6 and 7

Slides at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week1/ipynb/week1.ipynb

## January 22-26: Review of Neural Networks and Deep Learning
- Review of deep learning, basics of neural networks
## January 22-26: Mathematics of Neural Networks and Deep Learning
- Mathematics of deep learning, basics of neural networks
- Slides at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week2/ipynb/week2.ipynb
- Recommended reading Goodfellow et al chapters 6 and 7


## February 6-10
- Codes for feed forward neural networks (NNs), see https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/Programs/nn.ipynb and the slides for week 3 here.
- Discussion of first data sets to be studied
## January 29-February 2
- Implementing neural networks with applications to differential equations
- Discussion of first project
- Slides at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week3/ipynb/week3.ipynb


## February 13-17

- Discussion of project paths
- Convolutional neural networks (CNNs)
## February 5-9
- Convolutional neural networks (CNNs), basic mathematics
- Slides at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week4/ipynb/week4.ipynb

## February 20-24
- Convolutional neural networks (CNNs)
## February 12-16
- Convolutional neural networks (CNNs), buidling our own code
- Slides at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week5/ipynb/week5.ipynb

## February 27-March 10
- Summary on CCNs
- Recurrent neural networks and links with the first part of the project
## February 19-23
- Examples of applications of CNNs
- Recurrent neural networks

## March 13-17
## February
- Summary of RNNs and discussion of Long-Short-Term memory
- Start discussions of Autoencoders (AEs)

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