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• en

  • Deep Learning

    • 01 Introduction
    • 02 Activation functions
    • 03 Optimization
    • 04 Training deep networks
    • 05 Convolutional networks
    • 06 Embeddings and representation learning
    • 07 Recurrent networks
    • 08 LSTM and GRU
    • 09 Attention
    • 10 Transformers
  • Machine Learning

    • 01 Introduction
    • 02 General concepts
    • 03 Probabilistic formulation
    • 04 Linear regression
    • 05 Linear classification
    • 06 Multilayer neural networks
    • 07 Decision trees and ensemble methods
  • Mathematics

    • 01 Mathematical refresher
  • MLOps

    • 01 Introduction
• fr

  • Deep Learning

    • 01 Introduction
    • 02 Activation functions
    • 03 Optimization
    • 04 Training deep networks
    • 05 Convolutional networks
    • 06 Embeddings and representation learning
    • 07 Recurrent networks
    • 08 LSTM and GRU
    • 09 Attention
    • 10 Transformers
  • Machine Learning

    • 01 Introduction
    • 02 General concepts
    • 03 Probabilistic formulation
    • 04 Linear regression
    • 05 Linear classification
    • 06 Multilayer neural networks
    • 07 Decision trees and ensemble methods
  • Mathematics

    • 01 Mathematical refresher
  • MLOps

    • 01 Introduction