curiousily / Getting-Things-Done-with-Pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
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Update 08.sentiment-analysis-with-bert.ipynb #5

Open kforcodeai opened 3 years ago

kforcodeai commented 3 years ago

Bert uses only the encoders from transformers architecture, there was a typo

Earlier - While the original Transformer has an encoder (for reading the input) and a decoder (that makes the prediction), BERT uses only the decoder.

changed - While the original Transformer has an encoder (for reading the input) and a decoder (that makes the prediction), BERT uses only the encoder.