MINE — Mutual Information Neural Estimation

Discussion on a neural estimator for mutual information, and some of its applications

R-CNN — Region-based Methods for Object Detection

Discussion on a series of region-based methods for object detection, and extend to Mask R-CNN for instance segmentation

GANs — Generative Adversarial Networks

Discussion on the generative adversarial network in two ways: one for data generation, and the other for semi-supervised learning. In the end, we’ll also demonstrate some techniques that help improve GANs

VAE — Variational Autoencoder

Discussion on variational autoencoders, a kind of generative networks which allows us to alter data in a desired, specific way

t-SNE

Discussion on t-SNE, an unsupervised learning algorithm commonly used in data visualization.

YOLO — You Only Look Once

Discussion on YOLO, a state-of-the-art real-time object detection algorithm

PCA and Whitening

Discussion on dimensionality reduction technique PCA, and its derivatives whitening and ZCA whitening

Optimization

Discussion on first-order optimization algorithms in machine learning, which optimize the objective function based on gradients.

SVM — Support Vector Machines

An introduction to support vector machines