Add a LSTM layer to a sequential Keras model and save it accoring to a custom function

€8-30 EUR

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před více než 6 roky

€8-30 EUR

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Hi, I’m learning about LSTMs and I am working on a simple project using Keras. Do you think you could help me: 1) Add a LSTM layer to my sequential model; 2) Show me how to save the model when it scores higher on a custom scoring function (I want to save it only when the training accuracy is higher than the validation accuracy and both are higher than the previous best combination of testing and validation accuracy)

Data Science

Machine Learning (ML)

IČ projektu: 16082327

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4 nabídky

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Aktivní před 6 roky

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4 freelanceři nabízejí v průměru €38 EUR za tuto práci

@consultantcae

hi, I have worked on keras sequential model, I can add LSTM model in between input LSTM layer and Dense layer you have (just before output dense layer) or replace it with LSTM layer. I can also evaluate score and use it for saving states (why are you resetting states every time in nb_epoch loop?). If you are interested, let me know. Sourabh

€30 EUR v 1 dni

5,0

(2 recenze)

3,6

@freekotya

Price for helping Relevant Skills and Experience knowledge of recurrent neural networks in Theano, Tensorflow and Keras frameworks, DL/ML knowledge Proposed Milestones €39 EUR - Help with tasks proposed 1) So in your code you almost added LSTM to your model. Guess we need to make it work. 2) Why exactly you need train accuracy be higher than validation one? Usually it will be satisfied when you will train your network

€39 EUR v 1 dni