Summer Schools

PART 1: Introduction to Deep Learning & Deep Belief Nets (PDF Parts 1 & 2)

PART 2: Using backpropagation for fine-tuning a generative model to be better at discrimination

Deep Learning, Graphical Models, Energy-Based Models, Structured Prediction

Deep Learning, Graphical Models, EnergyBased Models, Structured Prediction (Part 2)

Deep Learning, Self-Taught Learning and Unsupervised Feature Learning (Part 1 Slides1-68; Part 2 Slides 69-109)

Advanced topics + Research philosophy / Neural Networks: Representation

Non-linear hypotheses

Non-linear hypotheses (Part 2)

Learning Hierarchies of Invariant Features (Parts 1 & 2)

Deep Learning, Graphical Models, EnergyBased Models, Structured Prediction (Part 3)

PART 3: Some applications of deep learning (Slides 1-38)

PART 4: A computational principle that explains sex, the brain, and sparse coding (Slides 39-92)

Deep Learning Methods for Vision

Deep Learning Methods for Vision (Part 2)

Part 1

Part 2

Part 3

Deep Learning, Graphical Models, EnergyBased Models, Structured Prediction (Part 4)

Part 1

Part 2

Some Relevant Topics in Optimization (Part 1) - (Slides Cover Parts 1 & 2)

Some Relevant Topics in Optimization (Part 2)

A tutorial on sparse modeling.

Sparse and Regularized Optimization Part 1 (Slides Cover Parts 1 & 2)

Sparse and Regularized Optimization Part 2

Part 3

Part 4

Scattering Invariant Deep Networks for Classification

Scattering Invariant Deep Networks for Classification (Part 2)

Part 1

Part 2

Tutorial on Optimization methods for machine learning

Tutorial on Optimization methods for machine learning (Part 2)

Tutorial on Optimization methods for machine learning (Part 3)

Scattering Invariant Deep Networks for Classification (Part 3)

An Algebraic Perspective on Deep Learning

An Algebraic Perspective on Deep Learning (Part 2)

An Algebraic Perspective on Deep Learning (Part 3)

Deep Gated MRF's - part 1

Deep Gated MRF's - part 2

Part 1

From Text to Concepts at Google

Part 2

Part 3

From natural scene statistics to models of neural coding and representation (part 1)

Large Scale Deep Learning

Deep learning in the visual cortex - Part 1

Deep learning in the visual cortex - Part 2

Multiview Feature Learning - Part 1

Multiview Feature Learning - Part 2

From natural scene statistics to models of neural coding and representation (part 2)

Introduction to MCMC for deep learning

Density estimation

Part 1

Part 2

Deep learning in the visual cortex - Part 3

An Informal Mathematical Tour of Feature Learning

Part 3