Machine Learning, Sentiment Analysis, Vertex AI, Programming, Bert.
model. Transfer learning : we freeze the weights of the model and use it as a “feature extractor”. We can therefore append additional layers downstream. This is frequently used in Computer Vision where models like VGG, Xception, etc. can be reused to train a custom model on small datasets