References
Artificial Neural Networks (ANNs) and Deep Learning
NYU Center for Data Science:
Course | Material |
---|---|
Deep Learning - DS-GA 1008 | Spring 2020 | Summary |
Natural Language Processing
Stanford University
Course | Material |
---|---|
CS224N: Natural Language Processing with Deep Learning | |
Speech and Language Processing | |
GloVe: Global Vectors for Word Representation | |
Learning Visual N-Grams from Web Data |
Stanford University School of Engineering
https://github.com/jtrecenti/2025-verao-torch
Latent Space Visualisation: PCA, t-SNE, UMAP UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Visualizing Data using t-SNE How to Use t-SNE Effectively An Introduction to Variational Autoencoders Autoencoders, Unsupervised Learning, and Deep Architectures Autoencoders Generative Adversarial Networks (GANs) Generative Adversarial Networks (GANs) - Deep Learning Specialization Generative Adversarial Networks (GANs) - Paper GANs in Action: Deep learning with Generative Adversarial Networks
https://mathigon.org/timeline/shannon