Advanced Deep Learning

Advanced Deep Learning

Frederik vom Lehn

Understanding Transformers

The underlying deep learning architecture for ChatGPT and new vision models.

6 min readMay 29, 2024

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Understanding Transformers

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Frederik vom Lehn

Word Embeddings and their Bias

Explaining the paper: Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings [1].

4 min readJan 9, 2024

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Word Embeddings and their Bias

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Frederik vom Lehn

Optimising ML Inference

How to improve latency during inference in Machine Learning!

6 min readNov 15, 2023

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How weight matrix pruning works in machine learning

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Frederik vom Lehn

Understanding Vector Similarity for Machine Learning

Cosine Similarity, Dot Product, Manhattan Distance L1, Euclidian Distance L2.

5 min readOct 7, 2023

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Understanding Vector Similarity for Machine Learning

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Frederik vom Lehn

Understanding Bias and Variance in Machine Learning

The terms bias and variance describe how well the model fits the actual unknown data distribution. In general one never has a dataset that…

3 min readSep 15, 2023

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Understanding Bias and Variance in Machine Learning

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Frederik vom Lehn

Complete Guide to Neural Networks

Based on a given dataset, a neuronal network creates a function f which maps the relationship between features Xi and labels Y. The…

6 min readAug 18, 2023

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Complete Guide to Neural Networks

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Frederik vom Lehn

Understanding the Convolutional Filter Operation in CNN’s.

5 min readAug 18, 2023

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Understanding the Convolutional Filter Operation in CNN’s.

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Frederik vom Lehn

Understanding the Structure of RGB Images and How Pixel Values Represent Color

This article explains how RGB images are represented as matrices and how a single pixel value represents colour.

4 min readAug 18, 2023

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Understanding the Structure of RGB Images and How Pixel Values Represent Color

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Deep learning is a subset of machine learning focused on training artificial neural networks to automatically learn and extract hierarchical representations from data.
Editors
Frederik vom Lehn
M.Sc. Artificial Intelligence & M.Sc. Psychology. Interested in self-supervised learning, deep learning and deep brain decoding.

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