Danilo Toapanta - Blog – Danilo Toapanta

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2024

Apr 02	Conditioning message functions NEW	All	Apr 02
Apr 02	Message passing	All	Apr 02
Apr 02	Motivation equivariant graph NNs	All	Apr 02
Apr 02	Group convolutions are all you need	All	Apr 02
Apr 02	Group Theory: Transitive action	All	Apr 02
Apr 02	A brief history of G-CNNs	All	Apr 02
Apr 02	SE(2) Equivariant NN Example	All	Apr 02
Apr 02	Regular group convolutions: Template matching viewpoing	All	Apr 02
Apr 02	Group theory: Groups, group product, inverse, action	All	Apr 02
Apr 02	Regular group convolutions	All	Apr 02
Feb 13	Offline Evaluation Metrics	All	Feb 13
Feb 13	Term-based Retrieval	All	Feb 13
Feb 13	Introduction to Ranking	All	Feb 13
Feb 08	Inverted Index	All	Feb 08
Feb 08	Text Processing	All	Feb 08
Jan 02	2023 Into 2024	All	Jan 02

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2023

Dec 14	Self-supervised Learning II	All	Dec 14
Dec 14	Self-supervised Learning I	All	Dec 14
Dec 08	DL Part 3	All	Dec 08
Dec 07	Deep Learning & The Natural Sciences	All	Dec 07
Dec 07	Generative modelling and Deep Variational Inference	All	Dec 07
Dec 07	Generative Adversarial Networks and Diffusion models	All	Dec 07
Dec 03	Interpretability of NLP models	All	Dec 03
Dec 03	Discourse processing	All	Dec 03
Dec 03	Large language models	All	Dec 03
Nov 27	Equivariances & Graphical Neural Networks	All	Nov 27
Nov 27	Attention & Transformers	All	Nov 27
Nov 25	Why using Logit Scaling in Softmax?	All	Nov 25
Nov 22	Lexical semantics and word embeddings	All	Nov 22
Nov 22	Compositional semantics and sentence representations	All	Nov 22
Nov 20	Convolutional Neural Networks	All	Nov 20
Nov 20	Modern ConvNets	All	Nov 20
Nov 20	Deep Learning Optimizations II	All	Nov 20
Nov 13	Modelling Syntactic Structure	All	Nov 13
Nov 13	Sequence Labelling	All	Nov 13
Nov 08	Deep Learning Optimizations I	All	Nov 08
Nov 05	DL Homeworks	All	Nov 05
Nov 05	Deep Feedforward Networks	All	Nov 05
Nov 02	Language modelling	All	Nov 02
Oct 15	Kernel methods & SVM	All	Oct 15
Oct 12	The Covariance Matrix and relation with PCA	All	Oct 12
Oct 12	Bayes Rule Equation	All	Oct 12
Oct 11	Principal Component Analysis (PCA)	All	Oct 11
Oct 04	Neural networks	All	Oct 04
Oct 04	Logistic Regression	All	Oct 04
Oct 03	The Perceptron	All	Oct 03
Sep 26	Matrix Calculus & Derivatives Ax	All	Sep 26
Sep 26	Maximum Likelihood vs Maximum a Posteriori Estimation	All	Sep 26
Sep 25	Classification and Decision Theory	All	Sep 25
Sep 05	Probability Theory in Machine Learning	All	Sep 05
Aug 22	Video error	All	Aug 22
Aug 21	Automating the creation of Blog posts	All	Aug 21
Aug 18	How to use widgets in jupyter notebooks	All	Aug 18
Jul 24	Picking the right tool to show your Machine Learning project	All	Jul 24
Jun 20	Running my first Marathon	All	Jun 20
Jun 09	On the topic of Optimization	All	Jun 09
May 29	Markdown structure, titles and CSS	All	May 29
Jan 12	2022 into 2023	All	Jan 12

2022

Nov 05	Welcome To My Blog	All	Nov 05

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