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Question about 'sequence-to-one' regression using LSTM layers
I have constructed a 'sequence-to-one' LSTM network, the structure is shown in the first figure . I want to add the l...
4 years 前 | 0 个回答 | 0
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Why the results are different by using trainNetwork and custom training loop?
I have defined a custom layer, and construct a simple network. when I train the network by using trainNetwork and custom trainin...
4 years 前 | 1 个回答 | 0
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When training a network with "trainNetwork", how to keep the trainable parameters from the begining to the end?
I want to see the 'sgdm' or 'adam' trace on the loss surface, the network at each iteration is needed? how can I keep the networ...
4 years 前 | 1 个回答 | 0
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In the deep learning custom layer, how to limit the learnable parameters?
Hello, everyone! I have designed a fuzzy system using deep learning toolbox, all the layers are designed using custom layer. ...
4 years 前 | 1 个回答 | 0
