NLP Workflows with Keras

Matthew and Chen guide us through the NLP workflows using Keras. Colab notebooks: https://colab.research.google.com/gist/mattdangerw/3d3f6d6bf717281b2a47b2e62b7397c5/hugging-face-talk-nlp-basics.ipynb https://github.com/chenmoneygithub/finetune-bert-with-HF-Keras/blob/main/Fine_tune_HuggingFace_model_in_Keras_with_plain_datasets.ipynb Matthew Watson is a machine learning engineer on the Keras team, with a focus on high-level modeling APIs. He studied Computer Graphics during undergrad and a Masters at Stanford University. An almost English major who turned towards computer science, he is passionate about working across disciplines and making NLP accessible to a wider audience. Chen Qian is a software engineer from Keras team, with a focus on high-level modeling APIs. Chen got a Master degree of Electrical Engineering from Stanford University, and he is especially interested in simplifying code implementations of ML tasks and large-scale ML.