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    188 lstm underfitting jobs found, pricing in USD

    We need a nodejs program based on “[login to view URL]”, to do the following tasks: General Requirements - Training-, Run- Analysis,- sections - Trained brain should be savable and loadable , if there is a saved brain file, use it automatically - All config should be done in an external JSON config file o Braintype (priority) o hidden layers (priority) o neurons in hidden (priority) ...

    $300 (Avg Bid)
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    Need to implement a DDPG LSTM based algorithm for Multipath Path TCP congestion control for Software Defined Networking.

    $405 (Avg Bid)
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    The scope of this project is to check faisability of a fast/simple Python code for stock chart Pattern recognition with Deep Learning (neural network). From an OHLC time serie chart, the code have to be able to dectect a technical pattern in a sliding window as following: - Focuse on just 1 technical pattern at this time (Head and Shoulders Top). - Inputs: OHLC daily data price from a csv file a...

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    I have a large data set of monthly reports in text format. The reports represent a summary of what has been happening in the division and what they expect to happen in the near term. There are historical quantitative metrics that cane be used as part of the model development process. I also have quantitative performance metrics that represent past performance for the groups and would like this ...

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    Hi freelancers, I'm also freelancer, so, as I know what i want, I know also what you are doing. So don't waste your time and bids with me if you are not experienced with the field i'm searching for. First of all, you need to have experience in complex algorithm designs, CNN, RNN, LSTM Second, you need to have experience in computer security models, IDS, IPS, Deep learning based IPS...

    $190 (Avg Bid)
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    The scope of this project is to check faisability of a fast/simple Python code for stock chart Pattern recognition with Deep Learning (neural network). From an OHLC time serie chart, the code have to be able to dectect a technical pattern in a sliding window as following: - Focuse on just 1 technical pattern at this time (Head and Shoulders Top). - Inputs: OHLC daily data price from a csv file a...

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    Dear Debangsha S. , Please find below terms and condition from dwbiadda or dwbi technologies, once Debangsha S. have accepted the offer in https://www.freelancer.in the below terms and conditions also accepted by Debangsha S. Debangsha S. ( name as per https://www.freelancer.in/u/Debangsha ), agreed to deliver Keras and tensorflow ( python libraries ) course videos/training videos as per given ...

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    We are looking to implement a Long Short Term Memory (LSTM) model with stock data smoothed and filtered using Kalman filtering. Need expertise in statistics and python programming.

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    QA framework should have the ability to read document/text and answer questions using WikiQA dataset. Word embedding, feature extractions and bi-LSTM should be performed and then the testing would be done. I'll provide further docs and related sum of codes which can make your structure and work faster and easier. I've initiated a bit of it. My budget is decent.

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    I am looking for a programmer for a small project using Keras. The specification of the project and data are summarised below: -The project revolves around sequence to sequence prediction with Encoder Decoder LSTM in Python using Keras. -The input sequence has 15 steps with 45 features ( i.e. "x_input" has size (? , 15, 45) ) -The output sequence has 25 steps with 2 features (( i.e. ...

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    You need to do univariate and multivariate stock price prediction with LSTM in Python

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    I have the data with 6 columns that contains user id, location point, timestamp, date, hour, minutes. The data is of 3 days and 200 users. I need to predict the next location point of the user for the 4th day. Each day is divided into 24 slots(0-23). the model should me LSTM and variants of LSTM

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    Take screenshots for this work on WEKA, showing the answer of above questions. Include these screenshots will be in final report. Few hints for MN623 wpscan hydra crunch How to convert data for WEKA [login to view URL] Feature Selection in WEKA [login to view URL] How to select training and testing data [login to view URL] Limitation of overfitting [login to view URL] Ensemble methods [lo...

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    have weather data and I applied it with the LSTM Python algorithm and needed a data analyzer and a writer

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    i have data of pm2.5 i need some one to put his ML skills to predict pm2.5 for next 4hr-24hr wit min accuracy of 8 or above using RNN LSTM,

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    I need to create LSTM-Final (Saeidi et al.,2016) and SenticLSTM (Ma et al.,2018) refered in this article : [login to view URL] The source code is available for BERT, I need also an interface with ipython notebook that illustrate the execution of our 2 models with the existing ones (the link of the code: [login to view URL])

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    I'd like to generate text using LSTM(Long Short Term Memory). If a particular sentence is an input, it will generate the next expected words or sentence. input data : Standard Marine Communication Phrases (SMCP). I attached the data file. Please make the Python code or Matlab code.

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    I am looking for people to predict the stock price by using GRU technique (deep learning),encoders and decoders technique and any one hybrid deep learning model such as CNN-LSTM/ConvLSTM. other points: Historical dataset(INFY and NSE) given to you Comparsion of both the models in table format Expecting appropriate graphs in results Commnets in code

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    Hi, I am trying to learn LSTM and stock prediction. For this I would very much appreciate if you could find the time to explain to me and write code as described under "deliverable" below. Example code for prediction: [login to view URL] Deliverable: Please take the code from link above and add what is needed to: Given a dataset that ranges from 2010-01-01 to 2019-01-31, return predic...

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    Topic: classify fake/real news language: python model :bert/lstm/cnn etc Machine learning technology: tensorflow/pytorch/keras

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    Looking for a python developer who have knowledge of LSTM and RNN and use AI and deep learning to create charts and a telegram bot/Android app.

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    Imputation missing time series data using neural network lstm.

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    I need to create LSTM-Final (Saeidi et al.,2016) and SenticLSTM (Ma et al.,2018) refered in this article : [login to view URL] The source code is available for BERT, I need also an interface with ipython notebook that illustrate the execution of our 2 models with the existing ones (the link of the code: [login to view URL])

    $192 (Avg Bid)
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    I am looking for an experienced deep learning specialist. My immediate need is for somebody who has built LSTM models before and can show some examples. You should also have experience with CNN and nearest neighbor search. You should have experience with TensorFlow. If you have implemented these before in production environment, please contact me.

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    check training and testing on datasets for 3 classifiers and make sure there is not overfitting or underfitting case. I'm using logistic regression, random forest and knn. i have the codes that i have done, i want the code edited/corrected if have any wrong flows. i want to do for 5 fold cross fold validation for all classifier. Do try for 10 fold also. Feature selected features also include...

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    The goal for this project is Building lstm model for automatic diacritization of undiacritized input texts and make comparision with output diacritized texts and target input texts Using of word error rate and diacritics error rate For state of the art We will train about million word in lstm code and test with new words

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    Small neural network work with LSTM.

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    I have an audio recognition model and it is trained by python using tensorflow. It's architecture is CNN + LSTM. The model can use on windows and linux platform but I want to use it on android and iOS. I don't want to use the model as a web service and I want the user to use the model on mobile devices. If you can help me , just contact me.

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    I'm kind of stuck and need some help merging two models. I have an output of length 1300x1 (regression) The first model I ran on on an input of shape 1300x8 (where I had 8 different features) and got a solid prediction. The second model I ran on an input of shape 1300x121x1 (essentially, each sample had 120 values of temperature in the past). I am getting a pretty high accuracy for pred...

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    LSTM+1D CNN for tweet classification(a novel approach) I would like a combination of attention as well for a better way of classification,I will tell the details if a demo is shown as a proof that programmer knows keras well

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    Text classification problem (python) Looking for experts in NLP, ML (scikit learn, keras, trees based/boosted tree, cnn, han, lstm thier fusions, tensorflow etc.)

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    LSTM+1D CNN for tweet classification(a novel approach) I would like a combination of attention as well for a better way of classification

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    Need expert in Python, tensorflow &/or pytorch in changing code to work on a new environment. Details in OpenAI Retro ([login to view URL]) is not needed but a willingness to understand & adapt code. Please only bid if you are willing to understand this & can get this done within 2 weeks. I need this model: [login to view URL] & source code: [login to view URL] reapplied to a diff...

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    I made Python/TensorFlow2.0 (LSTM, Adam) but it doesn't work. If you are professional with those technology, it is probably easy to fix it. I want sequential prediction such as Stock Price in Tokyo Market. I already successed Linear Prediction and Gaussian Fitting but somethong wrong with AI.

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    Debugged keras mnist program Implement [login to view URL] data per paper Forecasting Short Tine Series with LSTM Neural Networks using python/keras Provide results and keras program that created results Explain keras program which should have comments explaining steps

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    I have created an analytical program for temperature prediction using weather data,Using the LSTM algorithm Required to write about the program Write from 5000 words to 6000 with 30 references to 40 references

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    I have created an analytical program for temperature prediction using weather data,Using the LSTM algorithm Required to write about the program Write from 5000 words to 6000 with 30 references to 40 references

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    (1) provide the working mnist program describing the bug in the program (2) take time series data provided in excel file called [login to view URL] and apply the procedure from the paper called Forecasting Short Term Time Series with LSTM Neural Networks by Slawek Smyl (3) provide the results in 10 days or less with the keras program (4) work with and help me understand how the program works

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    the project is about forecast bit coin price using LSTM or ay other deep learnng model

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    Title :Seasonal Climate Prediction Using Data Mining Techniques i have applied a data mining in Machine language Python program to weather forecast temperature for City of Mecca in Saudi Arabia Writing about previous studies At the same address I needed to write about the program in about ten steps, 6000 words, 40 references, editable References on weather forecasting using DataMing --- Reference...

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    Looking for a specialist in deep learning / computer vision with expertise in semantic segmentation. We need a couple tasks to get done: 1) background subtraction for video. We have a security video feed and want to subtract the background video from moving foreground objects 2) we have an image segmentation algorithm already that may need some enhancement. 3) We need to implement LSTM model (exp...

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    I need some help troubleshooting a project that I am working on. It is based on a time series based data and I just want some advice.

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    Hi Jonathan G., I am trying to build a LSTM model based on article on [login to view URL], however, my model's input variables are different, and throw exceptions a particular line. I am not a python guru and need help on some questions I have about this code

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    This is payment for proceed with the data analysis for RNN and LSTM for job failure using google trace dataset.

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    Hi shivam this is additional payment for job failure prediction using RNN and LSTM using google trace [login to view URL] give you a brief on the call.

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    Hi, i have a proyect of reinforcement learning. It´s about a portfolio of stocks. I have done a LSTM for 50 stocks and predict the probability of going up or down each day. Then I get the 10 stocks with the highest probability from the LSTM and make select those stocks for that day in my portfolio. I need reinforcement learning to optimize the percentage of the money to allocated in each st...

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    Hello, i need to be a UML designed for a traffic flow prediction system based on machine learning. In this system the traffic of a road is observed using the VDS points and the upcoming traffic is predicted according to the recent flow and the weather conditions as well. I need a full UML design for this. Prediction algorithms are used: SVM, LSTM and ANN Only professional Software engineers are al...

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    Hi, i have a proyect of reinforcement learning. It´s about a portfolio of stocks. I have done a LSTM for 50 stocks and predict the probability of going up or down each day. Then I get the 10 stocks with the highest probability from the LSTM and make a portfolio. I need reinforcement learning to chose the percentage of my money to allocate in each stock each day. The reward would be a ratio ...

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    We have a database which predicts horseracing in Australia and we currently have a positive tipping strategy with a bank $ amount allocated to each bet. We need a script/bot which works exactly like a human bettor/gambler. The system must start with an allocated bet per day and decide 1. which races and prospects are the good value or probability chances 2. The strategy for the day. 3. Bet a...

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