= self.bptt(x, y) # List of all parameters we want to check. modelparameters = ['U', 'V', 'W'] # Gradient check for each parameter for pidx, pname in enumerate(model_parameters): # Get the actual parameter value from the mode, e.g. modelW parameter = operator.attrgetter(p...
结合Deepseek，构造了一个RNN的MATLAB2014程序，实现时间序列预测。代码有一下特点：使用滑动窗口输入（6...
train_iter, vocab = d2l.load_data_time_machine(batch_size, num_steps) net = RNNModelScratch(len(vocab), num_hiddens, d2l.try_gpu(), get_params, init_rnn_state, rnn) train_ch8(net, train_iter, vocab, lr, num_epochs, d2l.try_gpu()) # 随机抽样方法 # train_ch8(net, train_iter...
Caffe - C++ with MATLAB/Python wrappers LRCN by Jeff Donahue Torch - Lua torchnet : modular framework that enables building neural network models char-rnn by Andrej Karpathy : multi-layer RNN/LSTM/GRU for training/sampling from character-level language models torch-rnn by Justin Johnson :...
https://github.com/viorik/ConvLSTM(Lua ConvLSTM) https://github.com/huashiyiqike/LSTM-MATLAB(MATLAB) Implementing Multiple Layer Neural Network from Scratch: https://github.com/pangolulu/neural-network-from-scratch(Python) (更新中,欢迎补充!)...
算法为Matlab编写,注释清晰,逻辑详细,可以方便地替换数据。 2.excel数据,方便替换,先运行main1_DTW_Kmeans对时序数据进行聚类、再运行main2_Transformer_LSTM对聚类后的数据进行识别,其余为函数文件无需运行,可在下载区获取数据和程序内容,适用于交通、气象、负荷等领域。 3.图很多,包括聚类效果图、分类识别效果图,...