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Sequence Modeling: Recurrent and Recursive Nets(3)
CONTENTS Leaky Units and Other Strategies for Multiple Time Scales One way to deal with long term dependencies is to des
深 度 学 习 花 书 笔记
机器学习
深度学习
Applications(4)
CONTENTS Other Applications In this section we cover a few other types of applications of deep learning that are differe
深 度 学 习 花 书 笔记
线性代数
深度学习
概率论
机器学习
Convolutional Networks(3)
CONTENTS Random or Unsupervised Features Typically the most expensive part of convolutional network training is learning
深 度 学 习 花 书 笔记
深度学习
机器学习
Practical Methodology(2)
CONTENTS Selecting Hyperparameters Most deep learning algorithms come with many hyperparameters that control many aspect
深 度 学 习 花 书 笔记
机器学习
深度学习
Sequence Modeling: Recurrent and Recursive Nets(1)
CONTENTS Recurrent neural networks or RNNs Rumelhart et al 1986a are a family of neural networks for processing sequenti
深 度 学 习 花 书 笔记
机器学习
深度学习