What we have been doing with Deep Learning at the BIOP = Deep Learning in Matlab 2018b = Deep learning toolbox needs \\svfaspfl.ch\biop\biop\IMAGE PROCESSING\7-Projects\0-DeepLearning\ = Why using conda= https://towardsdatascience.com/stop-installing-tensorflow-using-pip-for-performance-sake-5854f9d9eb0c

What we have been doing with Deep Learning at the BIOP = Deep Learning in Matlab 2018b = Deep learning toolbox needs \\svfas6pfl.ch\biop\biop\IMAGE PROCESSING\7-Projects\0-DeepLearning\ = CNN vis = [[ https://cs.nyu.edu/~fergus/papers/zeilerECCV2014.pdf | link ]] = NN zoo= [[ https://towardsdatascience.com/the-mostly-complete-chart-of-neural-networks-explained-3fb6f2367464 | link ]] = Why using conda= [[ https://towardsdatascience.com/stop-installing-tensorflow-using-pip-for-performance-sake-5854f9d9eb0c | link ]] = Using Colaboratory = == Colaboratory== For now, you need to use your own gmail account (not compatible with epfl account). == DeepFLaSH == [[ https://github.com/matjesg/DeepFLaSH | DeepFLaSH ]], a deep learning pipeline for segmentation of fluorescent labels in microscopy images usable through [[ https://colab.research.google.com/github/matjesg/DeepFLaSH/blob/master/DeepFLaSH.ipynb | colaboratory]].

What we have been doing with Deep Learning at the BIOP = Deep Learning in Matlab 2018b = Deep learning toolbox needs \\svfas6pfl.ch\biop\biop\IMAGE PROCESSING\7-Projects\0-DeepLearning\ = CNN vis = [[ https://cs.nyu.edu/~fergus/papers/zeilerECCV2014.pdf | link ]] = NN zoo= [[ https://towardsdatascience.com/the-mostly-complete-chart-of-neural-networks-explained-3fb6f2367464 | link ]] = Why using conda= https://towardsdatascience.com/stop-installing-tensorflow-using-pip-for-performance-sake-5854f9d9eb0c[[ https://towardsdatascience.com/stop-installing-tensorflow-using-pip-for-performance-sake-5854f9d9eb0c | link ]] = Using Colaboratory = == Colaboratory== For now, you need to use your own gmail account (not compatible with epfl account). == DeepFLaSH == [[ https://github.com/matjesg/DeepFLaSH | DeepFLaSH ]], a deep learning pipeline for segmentation of fluorescent labels in microscopy images usable through [[ https://colab.research.google.com/github/matjesg/DeepFLaSH/blob/master/DeepFLaSH.ipynb | colaboratory]].