DL Theory Attention May 16, 2024 ml / dl_theory Seq2Seq May 15, 2024 ml / dl_theory RNN Back Propagation May 14, 2024 ml / dl_theory RNN May 14, 2024 ml / dl_theory CNN Summary May 13, 2024 ml / dl_theory VGGNet May 12, 2024 ml / dl_theory CNN Feature Map May 11, 2024 ml / dl_theory Padding, Pooling, Striding May 10, 2024 ml / dl_theory CNN with 3D input May 9, 2024 ml / dl_theory CNN Feature Extraction May 9, 2024 ml / dl_theory CNN May 8, 2024 ml / dl_theory Regularization May 7, 2024 ml / dl_theory Dropout May 6, 2024 ml / dl_theory Overfitting & Data Augmentation May 6, 2024 ml / dl_theory Loss Landscape / Skip-Connection May 5, 2024 ml / dl_theory Batch Normalization May 3, 2024 ml / dl_theory Vanishing Gradient May 2, 2024 ml / dl_theory ReLU May 2, 2024 ml / dl_theory Universal Approximation Theorem May 1, 2024 ml / dl_theory Multi-class Classification Apr 30, 2024 ml / dl_theory Neural Network is MLE machine Apr 29, 2024 ml / dl_theory MSE vs. Likelihood Apr 28, 2024 ml / dl_theory Perceptron Apr 27, 2024 ml / dl_theory Binary Classification (Sigmoid) Apr 27, 2024 ml / dl_theory Back Propagation with Matrix Derivatives Apr 26, 2024 ml / dl_theory Back Propagation Apr 25, 2024 ml / dl_theory MLP & Non-Linearity Apr 24, 2024 ml / dl_theory K-fold Cross Validation Apr 23, 2024 ml / dl_theory Train, Valid, Test Apr 23, 2024 ml / dl_theory Adam Apr 22, 2024 ml / dl_theory Momentum vs. RMSProp Apr 22, 2024 ml / dl_theory Mini-Batch SGD Apr 21, 2024 ml / dl_theory Stochastic Gradient Descent Apr 21, 2024 ml / dl_theory Weight Initialization Apr 20, 2024 ml / dl_theory Gradient Descent Apr 20, 2024 ml / dl_theory Linear Regression Apr 19, 2024 ml / dl_theory Neural Network Apr 19, 2024 ml / dl_theory