Generative Adversarial Networks (Extension) · Applied Machine Learning

Skip to content

Topic

Applied Machine Learning

Loss optimization, ensemble methods, and representation learning

$ Loss Functions and OptimizationGradient descent variants and loss function design $ Decision Trees and Ensemble MethodsDecision trees, random forests, and boosting methods $ Dimensionality ReductionPCA, t-SNE, and manifold learning techniques $ Neural Network FundamentalsBasic neural network architectures and training $ Graph Neural NetworksMessage passing and learning on graph-structured data $ Recurrent Neural Networks (Extension)Extension: Sequential data modeling with RNNs and LSTMs $ Generative Adversarial Networks (Extension)Extension: GAN architectures for generative modeling

/topics/Applied Machine Learning/Generative Adversarial Networks (Extension)

Loading...

Sign in to suggest