Saturday Morning Videos: Nando de Freitas' Machine Learning course, ICLR2014

I meant to post this yesterday. Oh well.

Nando de Freitas is currently teaching a course at Oxford on Machine Learning and it is videotaped:

• Deep learning at Oxford 2015
• Deep learning - Introduction
• Deep learning - linear models
• Deep learning - maximum likelihood and information
• Deep learning - regularization, model complexity and data complexity (part 1)
• Deep learning - Optimization
• Deep learning - Deep learning - regularization, model complexity and data complexity (part 1)

All the slides should be here.

I also found this series of ICLR videos from last year:

• ICLR14: J Bruna: Spectral Networks and Locally Connected Networks on Graphs
• ICLR14: J Masci: Sparse similarity-preserving hashing
• ICLR14: P Sprechmann (for Qiang Qiu): Learning Transformations for Classification Forests
• ICLR14: P Sermanet: OverFeat: Integrated Recognition, Localization and Detection using ConvNets
• ICLR14: D Kingma: Auto-Encoding Variational Bayes
• ICLR14: A Klami: Group-sparse Embeddings in Collective Matrix Factorization
• ICLR14 Invited Talk: Vincent Vanhoucke: "Learning visual representations at scale"
• ICLR14 Workshop: S Wang: Relaxations for inference in RBM
• ICLR14 Workshop: A Modi: Learning Semantic Script Knowledge with Event Embeddings
• ICLR14 Workshop: A Szlam: Unsupervised Feature Learning by Deep Sparse Coding
• ICLR14: M Norouzi: Zero-Shot Learning by Convex Combination...
• ICLR14 Invited Talk: Hynek Hermansky "Speech representations: 'knowledge' or data?" 
• ICLR14: A Saxe: Exact solutions to the nonlinear dynamics of learning... 
• ICLR14: T Schaul: Unit Tests for Stochastic Optimization 
• ICLR14: R Pascanu: Revisiting Natural Gradient for Deep Networks 
• ICLR14 Invited talk: Rich Sutton "Myths of Representation Learning". 

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