// The Library
Technical Deep Dives,
& systems logic.
Consult the index...
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2. NLP: LSTM & GRU
A guide on LSTM and GRU models and how they overcome limitations of RNNs.
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1. NLP: Recurrent Neural Networks [RNN]
A guide on the first steps towards modern NLP.
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8. Computer Vision: Neural Style Transfer
Mini Project performing style transfer from a source image to a target image.
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7. Computer Vision: Instance Segmentation
A small description on Instance Segmentation.
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6. Computer Vision: Object Detection
A detailed description on Object Detection models.
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5. Computer Vision: Semantic Segmentation
A small guide on semantic segmentation of images.
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2. Computer Vision: Pre trained Models
A small guide on how to work with pre-trained models.
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3. Computer Vision: Transfer Learning
A small guide on how transfer learning using pre-trained models.
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4. Computer Vision: Fine Tuning Models
A small guide on how to fine-tune pre-trained models.
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1. Computer Vision: Architecture
A description on working of CNNs.
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