Need help with dl-course?
Click the “chat” button below for chat support from the developer who created it, or find similar developers for support.

About the developer

155 Stars 49 Forks MIT License 80 Commits 1 Opened issues


Deep Learning with Catalyst

Services available


Need anything else?

Contributors list

Deep Learning with Catalyst Stepik Slack


This is an open deep learning course made by Deep Learning School, Tinkoff and Catalyst team. Lectures and practice notebooks located in '''./week''' folders. Homeworks are in '''./homework''' folders.


  • week 1: Deep learning intro
    • Deep learning – introduction, backpropagation algorithm. Optimization methods.
    • Neural Network in numpy.
  • week 2: Deep learning frameworks
    • Regularization methods and deep learning frameworks.
    • Pytorch basics & extras.
  • week 3: Convolutional Neural Network
    • CNN. Model Zoo.
    • Convolutional kernels. ResNet. Simple Noise Attack.
  • week 4: Object Detection, Image Segmentation
    • Object Detection. (One, Two)-Stage methods. Anchors.
    • Image Segmentation. Up-scaling. FCN, U-net, FPN. DeepMask.
  • week 5: Metric Learning
    • Metric Learning. Contrastive and Triplet Loss. Samplers.
    • Cross Entropy Loss modifications. SphereFace, CosFace, ArcFace.
  • week 6: Autoencoders
    • AutoEncoders. Denoise, Sparse, Variational.
    • Generative Models. Autoregressive models.
  • week 7: Generative Adversarial Models
    • Generative Adversarial Networks. VAE-GAN. AAE.
    • Energy based model.
  • week 8: Natural Language Processing
    • Embeddings.
    • RNN. LSTM, GRU.
  • week 9: Attention and transformer model
    • Attention Mechanism.
    • Transformer Model.
  • week 10: Transfer Learning in NLP
    • Pretrained Transformers. BERT. GPT.
    • Data Augmentation in Texts. Domain Adaptation.
  • week 11: Recommender Systems
    • Collaborative Filtering. FunkSVD.
    • Neural Collaborative Filtering.
  • week 12: Reinforcement Learning for RecSys
    • Reinforcement Learning. DQN Algorithm.
    • DDPG Algorithm. Wolpertinger.
  • week 13: Extras
    • Research & Deploy.
    • Config API. Reaction.

Course staff & contributors

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.