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

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)

Beceriler: Veri Bilimi, Makine Öğrenimi

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İşveren Hakkında:
( 1 değerlendirme ) Sofia, Bulgaria

Proje NO: #16082327

Bu iş için 4 freelancer ortalamada €38 teklif veriyor


Entry prices since i am still new to the platform Relevant Skills and Experience I am working as a professional data scientist, you can check my github to get a good understanding of my skills: [login to view URL] Daha Fazla

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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 i Daha Fazla

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(2 Değerlendirme)

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 you Daha Fazla

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(6 Değerlendirme)

I already have keras sequencial model RNN with LSTM gates such as open and intermediate. Relevant Skills and Experience Keras, python.

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