Is a tensor a 3D matrix?
Could you please clarify if a tensor can indeed be accurately described as a 3D matrix? It's a commonly heard comparison, but I'd like to understand if this terminology is fully accurate or if it's a simplification for the sake of easier understanding. Are there key differences between tensors and 3D matrices that should be noted, especially in the context of their applications and properties?
Why did Google make Tensor?
Could you explain the motivation behind Google's decision to create Tensor? What specific challenges or opportunities did they identify that led them to embark on this project? How does Tensor fit into Google's broader strategy and vision for the future of AI and technology? Is it designed to address specific market gaps or to compete with existing products? Lastly, what are some of the potential benefits or advantages that Tensor offers over alternative solutions?