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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
Project Samples
Categories
Education, Machine Learning, Data Science, Object Detection Models, Deep Learning FrameworksLicense
MIT LicenseFollow Deep Learning course
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