Deep Understanding Of Deep Learning

Python code accompanying the course "A deep understanding of deep learning (with Python intro)"

Master deep learning in PyTorch using an experimental scientific approach, with lots of examples and practice problems.

See https://www.udemy.com/course/deeplearning_x/?couponCode=202302 for more details, preview videos, and to enroll in the full course.

Name		Name	Last commit message	Last commit date
Latest commit History 46 Commits
ANN		ANN
CNN		CNN
CNNmilestone		CNNmilestone
FFN		FFN
FFNmilestone		FFNmilestone
GANs		GANs
GPU		GPU
RNN		RNN
autoencoders		autoencoders
convolution		convolution
data		data
gradientDescent		gradientDescent
math		math
measurePerformance		measurePerformance
metaparams		metaparams
overfitting		overfitting
regularization		regularization
styletransfer		styletransfer
transferlearning		transferlearning
weights		weights
DUDLMetaParamsCodeChallenge.ipynb		DUDLMetaParamsCodeChallenge.ipynb
DUDLMetaParamsIntro2WineData.ipynb		DUDLMetaParamsIntro2WineData.ipynb
DUDLOverfittingDataLoader.ipynb		DUDLOverfittingDataLoader.ipynb
DUDLOverfittingManual.ipynb		DUDLOverfittingManual.ipynb
DUDLOverfittingScikitLearn.ipynb		DUDLOverfittingScikitLearn.ipynb
DUDLRegularDropout.ipynb		DUDLRegularDropout.ipynb
DUDL_ANN_multilayer.ipynb		DUDL_ANN_multilayer.ipynb
DUDL_ANN_multioutput.ipynb		DUDL_ANN_multioutput.ipynb
DUDL_Data_DatasetLoader.ipynb		DUDL_Data_DatasetLoader.ipynb
DUDL_FFN_AboutMNIST.ipynb		DUDL_FFN_AboutMNIST.ipynb
DUDL_FFN_CodeChallenge_BinMNIST.ipynb		DUDL_FFN_CodeChallenge_BinMNIST.ipynb
DUDL_FFN_CodeChallenge_Missing7.ipynb		DUDL_FFN_CodeChallenge_Missing7.ipynb
DUDL_FFN_ShiftedMNIST.ipynb		DUDL_FFN_ShiftedMNIST.ipynb
DUDL_FFNonMNIST.ipynb		DUDL_FFNonMNIST.ipynb
README.md		README.md
chapter_09_word_embedding.ipynb		chapter_09_word_embedding.ipynb
chapter_10_seq2seq_lstm.ipynb		chapter_10_seq2seq_lstm.ipynb
chapter_11_attention.ipynb		chapter_11_attention.ipynb
stats_ch02_what_are_data.ipynb		stats_ch02_what_are_data.ipynb

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