The basics of Deep Learning and Bayesian Networks in under five minutes
Still confused about deep learning, how it works, what is its shortcomings, and what is its origins? Paraphrasing Zoubin: Deep learning is neural networks rebranded. Compute power enables us to run many layers of weighted computational neurons, hence the phrase "deep". They are data hungry, computationally intensive, uninterpretable black boxes that can be easily fooled. But ... They can do amazing things and using them is becoming easier.
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關係歸納偏置、深度學習、圖網路 摘要 人工智慧(AI)最近經歷了一次復興,在視覺、語言、控制和決策等關鍵領域取得了重大進展。這在一定程度上要歸因於廉價的資料和廉價的計算資源,因為這些資源符合深度學習的自然優勢。然而,在不同的壓力下發展起來的人類智力的許多決定性特徵,仍然是當前方法無法實現的。
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