| Title | : | Meta-Learning for Neural Networks: what is it? |
| Lasting | : | 3.34 |
| Date of publication | : | |
| Views | : | 11 rb |
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In the video, we use the evolutionary perspective as an intuition of how meta-learning works One can also adopt a lifetime learning perspective: over the course of our lives, we accumulate knowledge, which can facilitate fast adaptation to new tasks Comment from : @aixplained4763 |
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Thannks dude ❤ Comment from : @Aditya-ib7ug |
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thanks bro Comment from : @kiyoutakaayanokouji3701 |
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THANK YOU All of the higher level explainations by Stanford, Ilya Sutskever, and Berkeley couldn't spit out this key fact Comment from : @jameschen2308 |
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I dont agree with humans learning fast We have been trained all these years from when we are young, so we are a pre trained model If you want to do a same to same comparison, compare an untrained model with a new born child Comment from : @MrLucario127 |
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Good concise explanation Can you do more videos on the topic of optimizing hyperparameter search space? Comment from : @Hoe-ssain |
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Good video, stoned learner outranks medium-learner 😂😂 Comment from : @SM-ls9ee |
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Nicely explained I wish you had more videos on the subject of AI 😀 Comment from : @Jatuts |
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Orain 👍 Outer Rapidly Allows INner Comment from : @yourkurtosis5568 |
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Pretty amazing video Comment from : @amoghdeshpande8068 |
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Good job! 👍 Keep on Comment from : @kimberleyh9703 |
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Hi Mike, it's awesome waiting for more update Comment from : @huiwang4315 |
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