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第一周 循环序列模型（Recurrent Neural Networks）

1.1 为什么选择序列模型？（Why Sequence Models?）chevron-right1.2 数学符号（Notation）chevron-right1.3 循环神经网络模型（Recurrent Neural Network Model）chevron-right1.4 通过时间的反向传播（Backpropagation through time）chevron-right1.5 不同类型的循环神经网络（Different types of RNNs）chevron-right1.6 语言模型和序列生成（Language model and sequence generation）chevron-right1.7 对新序列采样（Sampling novel sequences）chevron-right1.8 循环神经网络的梯度消失（Vanishing gradients with RNNs）chevron-right1.9 GRU单元（Gated Recurrent Unit（GRU））chevron-right1.10 长短期记忆（LSTM（long short term memory）unit）chevron-right1.11 双向循环神经网络（Bidirectional RNN）chevron-right1.12 深层循环神经网络（Deep RNNs）chevron-rightBuilding your Recurrent Neural Networkchevron-rightrnn_utils.pychevron-rightDinosaurus Island -- Character level language model finalchevron-rightutils.pychevron-rightshakespeare_utils.pychevron-rightImprovise a Jazz Solo with an LSTM Networkchevron-right
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