PinnedFrederik vom LehninAdvanced Deep LearningUnderstanding TransformersThe underlying deep learning architecture for ChatGPT and new vision models.May 29May 29
PinnedFrederik vom LehninAdvanced Deep LearningUnderstanding the Convolutional Filter Operation in CNN’s.Aug 18, 20235Aug 18, 20235
PinnedFrederik vom LehninSelf-Supervised LearningIntroduction to Self-Supervised Learning (SSL).The dark matter of Intelligence according to Yann LeCun.Aug 21, 2023Aug 21, 2023
PinnedFrederik vom LehninAdvanced Deep LearningOptimising ML InferenceHow to improve latency during inference in Machine Learning!Nov 15, 20231Nov 15, 20231
Frederik vom LehninBrain DecodingUnderstanding EEG/ MEG Brain Data for Deep LearningDecoding Non-invasive Brain RecordingsMay 31May 31
Frederik vom LehninThe Art of CoffeeUnderstanding Specialty CoffeeThis article offers an in-depth exploration of coffee, covering a range of topics from the differences between Arabica and Robusta coffee…Feb 26Feb 26
Frederik vom LehninAdvanced Deep LearningWord Embeddings and their BiasExplaining the paper: Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings [1].Jan 9Jan 9
Frederik vom LehnInterpreting Training/Validation Accuracy and LossInterpreting training and validation accuracy and loss is crucial in evaluating the performance of a machine learning model and identifying…Nov 7, 2023Nov 7, 2023
Frederik vom LehninAdvanced Deep LearningUnderstanding Vector Similarity for Machine LearningCosine Similarity, Dot Product, Manhattan Distance L1, Euclidian Distance L2.Oct 7, 20232Oct 7, 20232
Frederik vom LehninAdvanced Deep LearningUnderstanding Bias and Variance in Machine LearningThe terms bias and variance describe how well the model fits the actual unknown data distribution. In general one never has a dataset that…Sep 15, 2023Sep 15, 2023
