Boltzmann Machines Restricted Boltzmann Machines – A friendly introduction – Link Restricted Boltzmann Machines (RBMs) – Ali Ghodsi – Link Variational Auto-encoder The variational auto-encoder from Stanford CS228 Notes – Link Papers DRAW: A Recurrent Neural Network For Image Generation – Link Auxiliary Deep Generative Models – Link Generating Sentences from a Continuous Space –…
Transfer Learning & Domain Adaptation
Transfer Learning vs. Domain Adaptation Following quoted from Wikipedia Domain adaptation is the ability to apply an algorithm trained in one or more “source domains” to a different (but related) “target domain”. Domain adaptation is a subcategory of transfer learning. In domain adaptation, the source and target domains all have the same feature space (but…
Manifolds
Manifold Hypothesis[1] Real-world high dimensional data (such as images) lie on low-dimensional manifolds embedded in the high-dimensional space. Chapter 14.6 Deep Learning Book[3] Like many other machine learning algorithms, autoencoders exploit the idea that data concentrates around a low-dimentional manifold or a small set of such manifolds. Some machine learning algorithms exploit this ideal only…
Autoencoders
Mitesh M. Khapra Lecture PDF Introduction to Autoencoders (Video) Link between PCA and Autoencoders (Video) Regularization in autoencoders (Motivation) (Video) Denoising Autoencoders (Video) Sparse Autoencoders (Video) Contractive autoencoders (Video) Hugo Larochelle Autoencoder – definition (Video) Autoencoder – loss function (Video) Example (Video) Linear Autoencoder (Video) Autoencoder – undercomplete vs. overcomplete hidden layer (Video) Autoencoder –…
AI Reports & Newsletters
State of AI Report – 2020 by AI investors Nathan Benaich and Ian Hogarth:
Computer Vision Resources
Conferences The Computer Vision Foundation – Link Open Access of Papers (The Computer Vision Foundation) – Link Conferences: CVPR – Conference on Computer Vision and Pattern Recognition WACV – Workshop on Applications of Computer Vision ICCV – International Conference on Computer Vision Topics to Explore Point Cloud What is point cloud – Link Point Cloud…
Deep Learning Resources
Courses Deep Learning Specialization by Andrew Ng at Coursera – Link Intro to Deep Learning with PyTorch – Facebook AI – Udacity – Link Deep Learning Nanodegree – Udacity – Link – Github Link Books Dive into Deep Learning (Online Book) – Link Deep Learning book by Ian Goodfellow et. al. – Link Important Papers Why Does…