TensorBoard: Embedding Visualization for Tensorflow
Embeddings are ubiquitous in machine learning, appearing in recommender systems, NLP, and many other applications. Indeed, in the context of TensorFlow, it’s natural to view tensors (or slices of tensors) as points in space, so almost any TensorFlow system will naturally give rise to various embeddings. To learn more about embeddings and how to train Read more about TensorBoard: Embedding Visualization for Tensorflow[…]