3 Matching Annotations
  1. Last 7 days
    1. ( ~ 6:25-end )

      Steps for designing a reading plan/list: 1. Pick a topic/goal (or question you want to answer) & how long you want to take to achieve this. 2. Do research into the books necessary to achieve this goal. Meta-learning, scope out the subject. The number of books is relative to the goal and length of the goal. 3. Find the books using different tools such as Google & GoodReads & YouTube Recommendations (ChatGPT & Gemini are also useful). 4. Refine the book list (go through reviews, etc., in Adlerian steps, do an Inspectional Read of everything... Find out if it's truly useful). Also order them into a useful sequence for the syntopical reading project. Highlight the topics covered, how difficult they are, relevancy, etc. 5. Order the books (or download them)


      Reminds me a bit of Scott Young's Metalearning step, and doing a skill decomposition in van Merriënboer et al.'s 10 Steps to Complex Learning

  2. 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