糖心TV

This is a complementary group to the . We meet informally every fortnight to discuss topics from the by Goodfellow, Bengio and Courville. This book is now available in print. You can order your copy from .

Please feel free to come along for one or more of our sessions. We offer free biscuits and interesting discussions about Deep Learning.

Please note that the aim of this group is to collaboratively learn about Deep Learning. Therefore, we will only publish a provisional schedule of the topics subject to change depending on the pace and participants' feedback.

Dates and Topics (Provisional):

• Please check back again in September
  

Previous Meetings:

• 10/11/2016: Introduction to Machine Learning (Chapters 1-5)
• 24/11/2016: Introduction to ML (continued) + Multi-Layered Perceptron (Chapters 5-6)
• 08/12/2016: Backpropagation and Regularisation (Chapters 6-7)
• 16/01/2017: Dropout and Optimisation (Chapters 7-8)
• 30/01/2017: Batch Normalisation and Convolutional Neural Networks (Chapters 8-9)
• 27/02/2017:Convolutional Neural Networks (continued) (Chapter 9)
• 13/03/2017: Takeover by !
• 27/03/2017: Recurrent Neural Networks (Chapter 10)
• 10/04/2017: Is Bayesian Deep Learning the most brilliant thing ever! - NIPS Workshop Panel Discussion
• 24/04/2017: RNNs Continued and LSTMs (Chapter 10)
• 08/05/2017: Linear Factor Models (Chapter 13)
• 05/06/2017: Keras Demo
• 03/07/2017: Autoencoders (Chapter 14)
• 17/07/2017: Variational Autoencoders

Resources:

• Goodfellow, Bengio and Courville's
  
• , Professor Zoubin Ghahramani
• , Fjodor van Veen
• , Deep Learning library for Python
• , Shakir Mohamed
• , Hugo Larochelle
• , Flood Sung

Time and Location:

16:00-17:00

Room D1.07

Mathematics & Statistics Building

Contact:

(organiser)

a dot boustati at warwick dot ac dot uk