- What is a prototypical network?
- What is the use of computing embeddings?
- How do we calculate the class prototype?
- What is a Gaussian prototypical network?
- How do Gaussian prototypical networks differ from vanilla ones?
- What are the different components of the covariance matrix used in a Gaussian prototypical network?
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You're reading from Hands-On Meta Learning with Python
Sudharsan Ravichandiran is a data scientist and artificial intelligence enthusiast. He holds a Bachelors in Information Technology from Anna University. His area of research focuses on practical implementations of deep learning and reinforcement learning including natural language processing and computer vision. He is an open-source contributor and loves answering questions on Stack Overflow.
Read more about Sudharsan Ravichandiran
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Sudharsan Ravichandiran is a data scientist and artificial intelligence enthusiast. He holds a Bachelors in Information Technology from Anna University. His area of research focuses on practical implementations of deep learning and reinforcement learning including natural language processing and computer vision. He is an open-source contributor and loves answering questions on Stack Overflow.
Read more about Sudharsan Ravichandiran