	01 - Introduc tion
	02 - Download all course material s
	03 - Concepts in deep learning
	04 - About the Python tutorial
	05 - Math, numpy, PyTorch
	06 - Gradient descent
	07 - ANNs (Artific ial Neural Networks )
	08 - Overfitt ing and cross-va lidation
	09 - Regulari zation
	10 - Metapara meters (activat ions, optimize rs)
	11 - FFNs (Feed-Fo rward Networks )
	12 - More on data
	13 - Measurin g model performa nce
	14 - FFN mileston e projects
	15 - Weight inits and investig ations
	16 - Autoenco ders
	17 - Running models on a GPU
	18 - Convolut ion and transfor mations
	19 - Understa nd and design CNNs
	20 - CNN mileston e projects
	21 - Transfer learning
	22 - Style transfer
	23 - Generati ve adversar ial networks
	24 - RNNs (Recurre nt Neural Networks ) (and GRULSTM)
	25 - Ethics of deep learning
	26 - Where to go from here
	27 - Python intro Data types
	28 - Python intro Indexing , slicing
	29 - Python intro Function s
	30 - Python intro Flow control
	31 - Python intro Text and plots
	32 - Bonus section

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Udemy - A deep understanding of deep learning (with Python intro)

Galeria

01 - Introduction	02 - Download all course materials	03 - Concepts in deep learning
04 - About the Python tutorial	05 - Math, numpy, PyTorch	06 - Gradient descent
07 - ANNs (Artificial Neural Networks)	08 - Overfitting and cross-validation	09 - Regularization
10 - Metaparameters (activations, optimizers)	11 - FFNs (Feed-Forward Networks)	12 - More on data
13 - Measuring model performance	14 - FFN milestone projects	15 - Weight inits and investigations
16 - Autoencoders	17 - Running models on a GPU	18 - Convolution and transformations
19 - Understand and design CNNs	20 - CNN milestone projects	21 - Transfer learning
22 - Style transfer	23 - Generative adversarial networks	24 - RNNs (Recurrent Neural Networks) (and GRULSTM)
25 - Ethics of deep learning	26 - Where to go from here	27 - Python intro Data types
28 - Python intro Indexing, slicing	29 - Python intro Functions	30 - Python intro Flow control
31 - Python intro Text and plots	32 - Bonus section