Deep Forest: Towards an Alternative to Deep Neural Networks (閱讀筆記)
This is an original article. Please indicate reference if reproduced. Introduction 首先，文中闡述了深度神經網絡的一些缺陷，主要分爲三個方面： - 數據 - 有監督的深度學習方法通常都需要大量的數據用來訓練，即使訓練出來的模型是應用在小規模數據的任務上。 - 即使是在獲得大量數據的情況下，通常也會面臨數據標註的問題，
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相關文章
- 1. 《Deep Forest: Towards an Alternative to Deep Neural Networks》理解
- 2. 論文——Deep Forest: Towards an Alternative to Deep Neural Networks - 周志華老師深度森林第一篇
- 3. 【閱讀筆記】《ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks》
- 4. cousera「Neural NetWorks and Deep learning"讀書筆記
- 5. Neural Networks and Deep Learning -- Class 4: Deep Neural Networks
- 6. Deep Neural Network for Learning to Rank Query-Text Pairs閱讀筆記
- 7. 論文閱讀：Deep Neural Networks for Object Detection
- 8. ImageNet Classification with Deep Convolutional Neural Networks-AlexNet閱讀筆記
- 9. Towards End-to-end Text Spotting with Convolutional Recurrent Neural Networks閱讀筆記
- 10. 論文閱讀筆記（五十三）：Understanding Deep Convolutional Networks