Archives for one shot learning
A study in 2019 titled ‘Meta-Transfer Learning for Few Shot Learning’ addressed the challenges that few-shot settings faced.
Visualising an object in 4D is nearly impossible, but mathematically, can be defined. For example, let’s say there are certain data related to weather of a city consisting of attributes like temperature, air pressure, humidity, wind speed and time of day. In a feature space, these five attributes can be viewed as to be in…
The post Will One-Shot Learning Using Hypercubes Outrank Traditional Neural Nets? appeared first on Analytics India Magazine.