Study Topics
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π’
DCGAN Parameter Counting
Count parameters layer by layer in DCGAN models
8β10 markshighest
πKLD / JSD / Wasserstein
Distribution metrics: KL Divergence, Jensen-Shannon, Wasserstein
6β7 markshighest
πFID Calculation
FrΓ©chet Inception Distance for GAN evaluation
3β4 markshigh
πFlow Model + Lipschitz
Invertibility and Lipschitz constant for WGAN
6β7 markshigh
πVAE Loss Calculation
Reconstruction + KL divergence in Variational Autoencoders
3 marksalways
πWord2Vec / Skip-gram
Word embeddings: Skip-gram and CBoW
6β8 marksmedium
βοΈAutoencoder Backprop
Backpropagation through autoencoder networks
7 marksmedium
π«οΈDiffusion Model
Ξ±, Ξ² scheduling and forward process
3β4 marksmedium