Cristian LeoinTowards Data ScienceThe Math Behind KAN — Kolmogorov-Arnold NetworksA new alternative to the classic Multi-Layer Perceptron is out. Why is it more accurate and interpretable? Math and Code Deep Dive.4d ago54d ago5
Cristian LeoinTowards Data ScienceHow LLMs ThinkResearch paper in pills: “Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet”Jun 71Jun 71
Cristian LeoinTowards Data ScienceThe Math Behind Gated Recurrent UnitsDive into advanced deep learning with gated recurrent units (GRUs), understand their mathematics, and implement them from scratch.Jun 41Jun 41
Cristian LeoinTowards Data SciencePolicy Gradient Methods in Reinforcement LearningTeaching a Car to Cross a Mountain using Policy Gradient Methods in Python: A Mathematical Deep Dive into Reinforcement LearningMay 29May 29
Cristian LeoinTowards Data ScienceReinforcement Learning: Deep Q-NetworksTeaching a shuttle to land on the moon using Deep Q-Networks in Python. A mathematical deep dive into Reinforcement Learning.May 232May 232
Cristian LeoinTowards Data ScienceThe Math Behind Nadam OptimizerNadam, one of the most capable optimizers in Deep Learning. Let’s delve into its math, and build the algorithm from scratch.May 16May 16
Cristian LeoinTowards Data ScienceThe Math Behind Batch NormalizationExplore Batch Normalization, a cornerstone of neural networks, understand its mathematics and implement it from scratch.May 81May 81
Cristian LeoinTowards Data ScienceThe Math Behind LSTMDive into LSTMs, understand their mathematics, and implement them from scratchMay 12May 12
Cristian LeoinTowards Data ScienceThe Math Behind Recurrent Neural NetworksDive into RNNs, the backbone of time series, understand their mathematics, implement them from scratch, and explore their applicationsApr 272Apr 272
Cristian LeoinTowards Data ScienceThe Math Behind Deep CNN — AlexNetDive into AlexNet, the first modern CNN, understand its mathematics, implement it from scratch, and explore its applications.Apr 16Apr 16