Linking pages
- Manipulating sentiment in NLP – Juliano Viana – Senior Machine Learning Manager @ &ampampampampampampampampampampampampampampampampampampampampLTa href='http://zuva.ai.com'>Zuva&ampampampampampampampampampampampampampampampampampampampampLT/a> https://jjviana.github.io/manipulating-sentiment-nlp/ 0 comments
Linked pages
- The Unreasonable Effectiveness of Recurrent Neural Networks https://karpathy.github.io/2015/05/21/rnn-effectiveness/ 434 comments
- fastText https://fasttext.cc/ 7 comments
- GloVe: Global Vectors for Word Representation http://nlp.stanford.edu/projects/glove/ 7 comments
- Standard score - Wikipedia https://en.wikipedia.org/wiki/Standard_score#/media/File:Normal_distribution_and_scales.gif 6 comments
- CS231n Convolutional Neural Networks for Visual Recognition http://cs231n.github.io/convolutional-networks/ 0 comments
- [1301.3781] Efficient Estimation of Word Representations in Vector Space https://arxiv.org/abs/1301.3781 0 comments
- Local Interpretable Model-Agnostic Explanations (LIME): An Introduction â OâReilly https://www.oreilly.com/learning/introduction-to-local-interpretable-model-agnostic-explanations-lime 0 comments
- http://www.cs.toronto.edu/~hinton/absps/NatureDeepReview.pdf 0 comments
- [1604.00825] Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers https://arxiv.org/abs/1604.00825 0 comments
- [1312.6034] Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps https://arxiv.org/abs/1312.6034 0 comments
- GitHub - bentrevett/pytorch-sentiment-analysis: Tutorials on getting started with PyTorch and TorchText for sentiment analysis. https://github.com/bentrevett/pytorch-sentiment-analysis 0 comments
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