// The Library
Technical Deep Dives,
& systems logic.
Consult the index...
⌘K
Latest Updates
5. NLP: Attention
A guide on Attention mechanism for seq2seq models.
›
4. NLP: Seq2Seq
A guide on Seq2Seq models that changed machine translation task.
›
3. NLP: Pytorch for NLP
Some tips for working with PyTorch for NLP tasks
›
2. NLP: LSTM & GRU
A guide on LSTM and GRU models and how they overcome limitations of RNNs.
›
1. NLP: Recurrent Neural Networks [RNN]
A guide on the first steps towards modern NLP.
›
8. Computer Vision: Neural Style Transfer
Mini Project performing style transfer from a source image to a target image.
›
7. Computer Vision: Instance Segmentation
A small description on Instance Segmentation.
›
6. Computer Vision: Object Detection
A detailed description on Object Detection models.
›
5. Computer Vision: Semantic Segmentation
A small guide on semantic segmentation of images.
›
4. Computer Vision: Fine Tuning Models
A small guide on how to fine-tune pre-trained models.
›