【推荐收藏】5天入门PyTorch？还真有这么一门Courses

近期在网路上看到一个深度学习的课程，由dataflowr的一个组织推出的课程

《Hands-on tour to deep learning with PyTorch》

主要的学习路径如下：

• Day 1:
  • (slides) introductory slides
  • (code) a first example on Colab: dogs and cats with VGG
  • (code) making a regression with autograd: intro to pytorch
• Day 2:
  • (slides) refresher: linear/logistic regressions, classification and PyTorch module.
  • (code) understanding convolutions and your first neural network for a digit recognizer.
  • (slides) embeddings and dataloader
  • (code) Collaborative filtering: matrix factorization and recommender system
  • (slides) Variational Autoencoder by Stéphane
  • (code) AE and VAE
• Day 3:
  • (slides) Towards deep learning for the real world by Andrei
  • (code) softmax temperature; Mixture Density Networks; Bayes by backpropagation
  • (slides) Generative Adversarial Networks
  • (code) Conditional and Info GANs
• Day 4:
  • Reccurrent Neural Networks: slides and associated code
  • (code) PyTorch tutorial on char-RNN
  • (code) Word2vec
  • (code) Playing with word embedding
  • Structured Self-attentive Sentence Embedding papercode to obtain Glove NLP mini-project
• Day 5:
  • (slides) Opening the black box
  • (code) CAM
  • (code) Adversarial examples
  • Graph Neural Networks by Timothée

课程地址：https://mlelarge.github.io/dataflowr-web/cea_edf_inria.html

代码地址：https://github.com/mlelarge/dataflowr