Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris. This course is being taught at as part of Master Year 2 Data Science IP-Paris. Note: press "P" to display the presenter's notes that include some comments and additional references. This lecture is built and maintained by Olivier Grisel and Charles Ollion.

Features

  • Intro to Deep Learning
  • Neural Networks and Backpropagation
  • Convolutional Neural Networks for Image Classification
  • Deep Learning for Object Detection and Image Segmentation
  • Sequence to sequence, attention and memory
  • Expressivity, Optimization and Generalization
  • Imbalanced classification and metric learning

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Categories

Education, Machine Learning, Data Science, Object Detection Models, Deep Learning Frameworks

License

MIT License

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Registered

2022-08-17
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