Course is held online at zoom
Contact: claudio.mirabello@scilifelab.se; bengt.sennblad@scilifelab.se
09:00 - 10.00 Introduction
gh / html
(Bengt, Claudio, Olga)
gwd path: session_introduction/session_introduction.ipynb
10:00 - 11:00 Setting up: Conda environment and GitHub repository.
(Claudio, Bengt, Olga)
Instructions on HackMD
11.00 - 12.00 ANN building blocks 1
gh / html
(Bengt, Claudio, Olga)
gwd path: session_annBuildingBlocks/session_annBuildingBlocks_1.ipynb
12:00 - 13:00 lunch
13.00 - 14.00 ANN building blocks 2
gh / html
(Bengt, Claudio, Olga)
gwd path: session_annBuildingBlocks/session_annBuildingBlocks_2.ipynb
14.00 - 15.00 ANN building blocks 3
gh / html
(Bengt, Claudio, Olga)
gwd path: session_annBuildingBlocks/session_annBuildingBlocks_1.ipynb
15.00 - 17.00 ANN building blocks Lab keras
gh
(Claudio, Bengt, Olga)
gwd path: session_annBuildingBlocks/lab_keras/introduction_to_keras.ipynb
9.00 - 12.00 ANN building blocks Lab keras cntd.
gh
(Claudio, Bengt, Olga)
gwd path: session_annBuildingBlocks/lab_keras/introduction_to_keras.ipynb
12:00 - 13:00 lunch
13.00 - 14.00 Convolutional Neural Networks 1 gh html (Christophe, Claudio, Bengt)
gwd path: session_convolutionalNeuralNetworks/Lecture/CNN_lecture_1_classification.ipynb
14.00 - 15.30 Convolutional Neural Networks 1 gh (Christophe, Claudio, Bengt)
gwd path: session_convolutionalNeuralNetworks/Labs/CNN_Keras_lab_1.ipynb
15.30 - 16.00 Convolutional Neural Networks 2 gh html (Christophe, Claudio, Bengt)
gwd path: session_convolutionalNeuralNetworks/Lecture/CNN_lecture_2_segmentation.ipynb
16.00 - 17.00 Convolutional Neural Networks 2 gh (Christophe, Claudio, Bengt)
gwd path: session_convolutionalNeuralNetworks/Labs/CNN_Keras_lab_2.ipynb
9.00 - 10.00 Keras in R – autoencoders Lecture lecture html
lab html
(Marcin, Claudio, Bengt)
lecture gwd path: session_rAutoencoders/lecture_autoencoders_r/lecture_autoencoders.html
lecture gwd path: session_rAutoencoders/lab_autoencoder_hapmap.html
10.00 - 12.00 Keras in R – autoencoders Lab1 html
(Marcin, Claudio, Bengt)
gwd path: session_rAutoencoders/lab_autoencoder_hapmap.html
12:00 - 13:00 lunch
13.00 - 15.00 Recurrent Neural Networks 1
gh
(Dan, Per, Claudio, Bengt)
gwd path: session_recurrentNeuralNetworks/lecture-and-exercises.ipynb
15.00 - 17.00 Recurrent Neural Networks 2 Lab
Introduction gh
Lab gh
(Per, Dan, Claudio, Bengt)
gwd path Introduction: session_recurrentNeuralNetworks/lab_recombination_rate/slides.ipynb
gwd path Lab: session_recurrentNeuralNetworks/lab_recombination_rate/recrate_exercise.ipynb
9.00 - 12.00 Good practices of project design lecture lecture gh
Lab on Train/Validation splitting gh
(Claudio, Bengt, Eva)
lecture gwd path: session_goodPracticesDatasetDesign/good_practices_project_design.ipynb
gwd path: session_goodPracticesDatasetDesign/lab_validation/rigorous_train_validation_splitting.ipynb
12:00 - 13:00 lunch
13.00 - 15.00 Good practices of project design: Lab on target leakage gh (Claudio, Bengt, Eva)
gwd path: session_goodPracticesDatasetDesign/lab_targetLeakage/investigating_target_leakage.ipynb
15.00 - 17.00 Good practices of project design: Lab on transfer learning gh (Claudio, Bengt, Eva)
gwd path: session_goodPracticesDatasetDesign/lab_transferLearning/transfer_learning.ipynb
9.00 - 10.00 Bayesian Neural Networks (Nikolay, Claudio, Bengt)
html DeepLearningForLifeSciences_Oskolkov gwd path: session_BNN/DeepLearningForLifeSciences_Oskolkov.ppt
html BayesianDeepLearning
gwd path: session_BNN/BayesianDeepLearning.ipynb
html CIFAR10_Bayesian
gwd path: session_BNN/CIFAR10_Bayesian.ipynb
html DeepLearningAncientDNA
gwd path:session_BNN/DeepLearningAncientDNA.ipynb
html DeepLearningDataIntegration
gwd path: session_BNN/DeepLearningDataIntegration.ipynb
html DeepLearningMetagenomics
gwd path:session_BNN/DeepLearningMetagenomics.ipynb
html DeepLearningNeanderthalIntrogression
gwd path: session_BNN/DeepLearningNeanderthalIntrogression.ipynb
html DeepLearningSingleCellipynb
gwd_path: session_BNN/DeepLearningSingleCellipynb
html HumanProteinAtlas
gwd path: session_BNN/HumanProteinAtlas.ipynb
html MO_Melander_DeepLearning
gwd path: session_BNN/MO_Melander_DeepLearning.ipynb
html segmentation_maskrcnn
gwd path: session_BNN/segmentation_maskrcnn.ipynb
10.00 - 11.00 convolutional Autoencoders gh html (Carl, Claudio, Bengt)
11.00 - 12.00 Buffert time/Extra lab time (Claudio, Bengt,…)
12:00 - 13:00 lunch
13.00 - 14.00 Feedback session (HackMD documetn will be posted on the course slack channel) (Claudio, Bengt, …)
14.00 - 15.00 Extra lab time (Claudio, Bengt,…)