Awesome Open Source
Awesome Open Source

CSC_deeplearning

Join the chat at https://gitter.im/yandexdataschool/CSC_deeplearning Binder Crash-course deep learning in 3 days.

Lectures and corresponding seminars are in the ./day* folders.

Useful links:

Syllabus

  • day 0 morning Recap

    • [ ] Lecture: Linear models, stochastic optimization, regularization
    • [ ] Seminar: Adaptive optimization methods for subgradient SVM
  • day 0 afternoon Going deeper

    • [ ] Lecture: Neural networks 101
    • [ ] Seminar: theano, symbolic graphs and basic neural networks
  • day 0 evening Yandex/HSE introductory note

  • day 1 morning Vision & convolutional networks

    • [ ] Lecture: Computer vision problems. Convolutional neural networks. Tips and tricks. Fine-tuning.
    • [ ] Seminar: lasagne and CIFAR
  • day 1 afternoon Natural language processing & embeddings

    • [ ] Lecture: NLP problems and applications, bag of words, word embeddings, word2vec, text convolution.
    • [ ] Seminar: Embeddings and text convolutions for salary prediction.
  • day 1 evening Generative adversarial networks

  • day 2 morning Recurrent neural networks for sequences

    • [ ] Lecture: Sequence modelling. Simple RNN. BPTT. Gradient vanishing/explosion. LSTM/GRU. Grad clipping.
    • [ ] Seminar: Generating names & modecules with recurrent neural networks
  • day 2 afternoon Connecting it all together: image captioning

    • [ ] Lecture: RNN as Encoder/Decoder/Seq2seq. Common semantic space. Image captioning.
    • [ ] Seminar: Image captioning
  • day 2 evening Outro

Contributors & course staff

Course staff

Contributors

The course is based on our HSE_deepelarning track.


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jupyter-notebook (6,169
deep-neural-networks (460
course (111
workshop (97
theano (75
binder (43
school (33
lasagne (19
materials (17