Erasmus Deep Learning course material

NOTE: CORRECTED NOTEBOOKS ARE IN assignments/corrected-notebooks.

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
data		data
environment		environment
images		images
resources		resources
01-helpers.R		01-helpers.R
01-introduction.ipynb		01-introduction.ipynb
01-introduction.pptx		01-introduction.pptx
01_introduction.key		01_introduction.key
01a-neuron-from-scratch-answers.ipynb		01a-neuron-from-scratch-answers.ipynb
01a-neuron-from-scratch.ipynb		01a-neuron-from-scratch.ipynb
01b-network-from-scratch-answers.ipynb		01b-network-from-scratch-answers.ipynb
01b-network-from-scratch.ipynb		01b-network-from-scratch.ipynb
02-deep-learning-with-keras.pdf		02-deep-learning-with-keras.pdf
02-deep-learning-with-keras.pptx		02-deep-learning-with-keras.pptx
02-helpers.R		02-helpers.R
02_fundamentals.key		02_fundamentals.key
02a-keras-on-xor-answers.ipynb		02a-keras-on-xor-answers.ipynb
02a-keras-on-xor.ipynb		02a-keras-on-xor.ipynb
02b-keras-on-fashion-mnist-answers.ipynb		02b-keras-on-fashion-mnist-answers.ipynb
02b-keras-on-fashion-mnist.ipynb		02b-keras-on-fashion-mnist.ipynb
03-regression.ipynb		03-regression.ipynb
03_classification_regularization.key		03_classification_regularization.key
03_classification_regularization.pdf		03_classification_regularization.pdf
03a-fashion-mnist-multiclass-answers.ipynb		03a-fashion-mnist-multiclass-answers.ipynb
03a-fashion-mnist-multiclass.ipynb		03a-fashion-mnist-multiclass.ipynb
03b-regression-regularisation.ipynb		03b-regression-regularisation.ipynb
04-helpers.R		04-helpers.R
04-sequences.key		04-sequences.key
04-sequences.pdf		04-sequences.pdf
04a-regularisation-answers.ipynb		04a-regularisation-answers.ipynb
04a-regularisation.ipynb		04a-regularisation.ipynb
04b-time-series-prediction-answers.ipynb		04b-time-series-prediction-answers.ipynb
04b-time-series-prediction.ipynb		04b-time-series-prediction.ipynb
05-helpers.R		05-helpers.R
05-rnns.key		05-rnns.key
05-rnns.pdf		05-rnns.pdf
05a-rnns-answers.ipynb		05a-rnns-answers.ipynb
05a-rnns.ipynb		05a-rnns.ipynb
05b-rnns-improved-answers.ipynb		05b-rnns-improved-answers.ipynb
05b-rnns-improved.ipynb		05b-rnns-improved.ipynb
06-cnns.key		06-cnns.key
06-cnns.pdf		06-cnns.pdf
06-helpers.R		06-helpers.R
06a-cnns-answers.ipynb		06a-cnns-answers.ipynb
06a-cnns.ipynb		06a-cnns.ipynb
06b-cnns-transfer-answers.ipynb		06b-cnns-transfer-answers.ipynb
06b-cnns-transfer.ipynb		06b-cnns-transfer.ipynb
07-end.key		07-end.key
07-unsupervised_learning_production.pdf		07-unsupervised_learning_production.pdf
1804033_01_Offerte_SURFsara_EUR_Training_Course_2018-2019.pdf		1804033_01_Offerte_SURFsara_EUR_Training_Course_2018-2019.pdf
Fraud python.ipynb		Fraud python.ipynb
README.md		README.md
RNNs.key		RNNs.key
Reuters-R10-test.csv		Reuters-R10-test.csv
Reuters-R10-training.csv		Reuters-R10-training.csv
assignment-1-answers.ipynb		assignment-1-answers.ipynb
assignment-1-helpers.R		assignment-1-helpers.R
assignment-1-preparation.ipynb		assignment-1-preparation.ipynb
assignment-1.ipynb		assignment-1.ipynb
assignment-2-answers.ipynb		assignment-2-answers.ipynb
assignment-2-helpers.R		assignment-2-helpers.R
assignment-2.ipynb		assignment-2.ipynb
assignment-3-answers.ipynb		assignment-3-answers.ipynb
assignment-3-helpers.R		assignment-3-helpers.R
assignment-3.ipynb		assignment-3.ipynb
assignment_1.md		assignment_1.md
classification-embedding.ipynb		classification-embedding.ipynb
classification.ipynb		classification.ipynb
convnets.ipynb		convnets.ipynb
kernel.ipynb		kernel.ipynb
library.r		library.r
material.md		material.md
misc.ipynb		misc.ipynb
preprocessing.ipynb		preprocessing.ipynb
reuters-preprocessing.ipynb		reuters-preprocessing.ipynb
time-series-prediction.ipynb		time-series-prediction.ipynb

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