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Deep Tutorials for PyTorch
This is a series of in-depth tutorials I'm writing for implementing cool deep learning models on your own with the amazing PyTorch library.
image-captioning sequence-labeling object-detection text-classification
ViLBERT-MT: Multi-Task Vision & Language Representation Learning
A single ViLBERT Multi-Task model can perform 8 different vision and language tasks learnt from 12 datasets!
visual-question-answering image-captioning multi-modal computer-vision
Lecture 10 | Recurrent Neural Networks
Discuss the use of recurrent neural networks for modeling sequence data.
recurrent-neural-networks gated-recurrent-units lstm language-modeling
Show, Infer & Tell: Contextual Inference for Creative Captioning
The beauty of the work lies in the way it architects the fundamental idea that humans look at the overall image and then individual pieces of it.
image-captioning deep-learning recurrent-neural-networks attention
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