2 Matching Annotations
  1. Feb 2019
    1. What I will call the model (M) which is our previous neural net. It can now be seen as a low-level network. It is sometimes called an optimizee or a learner. The weights of the model are the ■ on the drawings.The optimizer (O) or meta-learner is a higher-level model which is updating the weights of the lower-level network (the model). The weights of the optimizer are the ★ on the drawings

      learner关于猫狗分类的模型

      meta-learner,optimizer(o)来描述分类模型参数的模型

    2. From zero to research — An introduction to Meta-learning

      Meta-learning

      what happens when we train a simple neural net to classify images of dogs and cats.

      https://cdn-images-1.medium.com/max/1000/1*T5ppr8fb0chwz0wC7oYPDA.gif