Make a stacked denoising lstm autoencoder work with the feature data
$30-250 CAD
Płatność przy odbiorze
I will provide the feature data with a Stacked Denoising LSTM Autoencoder. I am asking you to make that model work with the different feature data I will provide you and construct a graph that will show me the MSE according to the time. You will allow me to save the relevant part of the autoencoder once it is well trained so that I can use it for me supervised learning model (RNN + LSTM).
Numer ID Projektu: #17016282
O projekcie
8 freelancerów złożyło ofertę za $243 w tym projekcie
Hi, I am full stack data scientist/engineer and I can help in your project. I have prior experience of working on stacked auto-encoders. Please let me know if you are interested and I am available to discuss and sta Więcej
A dedicated analyst, proficient in running successful method-oriented operations & taking initiatives for business excellence. Specialized in creating Predictive modelling of data using supervised (Machine Learning) an Więcej
dear Sir, I can do this project. I have experience in deep learning, I can assure you that if you work with me once, you will always work with me for these kinds of projects.
Hello i have vast knowledge on the topic which can help me get the work done perfectly and on time. i am looking forward to working with you. Evans Regards
Hi, Thank you for giving me a chance to bid on your project. i am a serious bidder here and i have already worked on a similar project before and can deliver as u have mentioned I have got Rich experience in Jooml Więcej