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?)1.2 数学符号(Notation)1.3 循环神经网络模型(Recurrent Neural Network Model)1.4 通过时间的反向传播(Backpropagation through time)1.5 不同类型的循环神经网络(Different types of RNNs)1.6 语言模型和序列生成(Language model and sequence generation)1.7 对新序列采样(Sampling novel sequences)1.8 循环神经网络的梯度消失(Vanishing gradients with RNNs)1.9 GRU单元(Gated Recurrent Unit(GRU))1.10 长短期记忆(LSTM(long short term memory)unit)1.11 双向循环神经网络(Bidirectional RNN)1.12 深层循环神经网络(Deep RNNs)Building your Recurrent Neural Networkrnn_utils.pyDinosaurus Island -- Character level language model finalutils.pyshakespeare_utils.pyImprovise a Jazz Solo with an LSTM Network
Last updated