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Deep Learning (Oxford)

(16 Lectures Available)

S# Lecture Course Institute Instructor Discipline
1
  • Lecture 1 Introduction (Oxford)
Deep Learning (Oxford) Oxford Nando de Freitas Applied Sciences
2
  • Lecture 10 Convolutional Neural Networks (Oxford)
Deep Learning (Oxford) Oxford Nando de Freitas Applied Sciences
3
  • Lecture 11 Max-margin learning, transfer and memory networks (Oxford)
Deep Learning (Oxford) Oxford Nando de Freitas Applied Sciences
4
  • Lecture 12 Recurrent Neural Nets and LSTMs (Oxford)
Deep Learning (Oxford) Oxford Nando de Freitas Applied Sciences
5
  • Lecture 13 Alex Graves on Hallucination with RNNs (Oxford)
Deep Learning (Oxford) Oxford Nando de Freitas Applied Sciences
6
  • Lecture 14 Karol Gregor on Variational Autoencoders and Image Generation (Oxford)
Deep Learning (Oxford) Oxford Nando de Freitas Applied Sciences
7
  • Lecture 15 Deep Reinforcement Learning - Policy search (Oxford)
Deep Learning (Oxford) Oxford Nando de Freitas Applied Sciences
8
  • Lecture 16 Reinforcement learning and neuro-dynamic programming (Oxford)
Deep Learning (Oxford) Oxford Nando de Freitas Applied Sciences
9
  • Lecture 2 Linear models (Oxford)
Deep Learning (Oxford) Oxford Nando de Freitas Applied Sciences
10
  • Lecture 3 Maximum likelihood and information (Oxford)
Deep Learning (Oxford) Oxford Nando de Freitas Applied Sciences
11
  • Lecture 4 Regularization, model complexity and data complexity (part 1) (Oxford)
Deep Learning (Oxford) Oxford Nando de Freitas Applied Sciences
12
  • Lecture 5 Regularization, model complexity and data complexity (part 2) (Oxford)
Deep Learning (Oxford) Oxford Nando de Freitas Applied Sciences
13
  • Lecture 6 Optimization (Oxford)
Deep Learning (Oxford) Oxford Nando de Freitas Applied Sciences
14
  • Lecture 7 Logistic regression, a Torch approach (Oxford)
Deep Learning (Oxford) Oxford Nando de Freitas Applied Sciences
15
  • Lecture 8 Modular back-propagation, logistic regression and Torch (Oxford)
Deep Learning (Oxford) Oxford Nando de Freitas Applied Sciences
16
  • Lecture 9 Neural networks and modular design in Torch (Oxford)
Deep Learning (Oxford) Oxford Nando de Freitas Applied Sciences

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