In this post, we'll learn introduction to Google’s Universal Sentence Encoder: A state-of-art model
NLP, Text Embeddings, and how to improve Google’s model
Text embeddings always play an important role in natural language-related tasks. The quality of text embeddings depends upon the size of the dataset that the model is trained on which improves the quality of features extracted. Instead of training the model completely from scratch, one can use pre-trained models like Google’s Universal Sentence Encoder which is discussed in this story ahead.
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Google Reveals "What is being Transferred” in Transfer Learning. Recently, researchers from Google proposed the solution of a very fundamental question in the machine learning community.
Project walk-through on Convolution neural networks using transfer learning. From 2 years of my master’s degree, I found that the best way to learn concepts is by doing the projects.
A practical and hands-on example to know how to use transfer learning using TensorFlow. We will learn how to use transfer learning for a classification task.
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