Are Ya Winning, Son? Machine Learning

ARE YA WINNING, SON? YES. Multi-Layer Perceptron Perceptron XOR Problem Gradient Descent Stochastic Gradient Descent Universal Approximation Theorem Curse of Dimensionality Overfitting vs. Generalization Optimization vs. Learning Bias-Variance Tradeoff Cross Validation Evaluation Confusion Matrix Accuracy Precision, Recall, F1 Regularization Lasso & Ridge Early Stopping Dropout Optimizers Momentum Nesterov RMSProp, Adam CNNs AlexNet, VGG, Lenet, ResNet Activation Maximization Saliency Maps RNNs GRU LSTM Transformer Learning Transformers

A tiny figure watches a snail climb a steep hill covered with increasingly advanced machine-learning concepts, while a Transformers image appears at the summit. The joke is that learning machine learning feels like an absurdly long progression from basic perceptrons to modern deep-learning architectures. It is used as a reaction to difficult study plans, overwhelming technical subjects, or finally reaching an advanced milestone.

• @profunctor_io / 10143 2024-06-14
• @dev_meme / 6074 2024-06-16