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Please click here to go to the home page, or have a look at the website modules below.
- Module 1: Introduction & General Overview
- Module 2a: Pytorch Tensors
- Module 2b: Automatic Differentiation
- Module 3: Loss functions for classification
- Module 4: Optimization for Deep Learning
- Module 5: Stacking layers
- Module 6: Convolutional Neural Network
- Module 7: Dataloading
- Module 8a: Embedding layers
- Module 8b: Collaborative Filtering
- Modules 9: Autoencoders
- Module 10: Generative Adversarial Networks
- Module 11a: Recurrent Neural Networks theory
- Module 11b: Recurrent Neural Networks practice