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    7,403 tensorflow predict jobs found, pricing in CAD

    Need to build yolo with tensorflow in local machine and extract text from that with ocr

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    I already have the Elasticsearch Node.js client project for indexing the document, but now I want to integrate google Tensorflow fine tune Bert model for better result, the model would classify the input search text and give a better result to users.

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    We can provide you dataset having nearly 9000000 entries and the task is to predict the missing links and formulate a Machine learning [login to view URL] data must me streamed using kafka and 2 ML models must be developed

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    Face recognition working with Ml kit and tensor flow. hi, the application is designed with also face recognition with ML kit and TensorFlow lite. Requirements: user will upload the image, the image will upload to the database( current user, registered complaint)( working/ implemented) another user reports the picture in found section( this image will upload to found database). On the view page ...

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    Translating a Jupyter notebook into a Python package - [login to view URL] - def train_and_persist() - def predict(a, b, ...) - etc.

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    Consider the time taken to verify a single bug is a minimum two hours where the bugs can be from the field or are found in-house. If a test team verifies hundreds of bugs per year, for 250 defects, that is 100 days of work on nothing else but this. Create a training model that will predict which defects were incorrectly fixed based on previous data (i.e., previously verified defects). The bug p...

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    The rules of this theory are inspired by Dow’s theory and are governed by Fibonacci numbers. The primary value of the wave is that provides a context for market analysis. indicator identified a certain fundamental wave structure (or pattern) consisting of a 5-wave motive sequence (numbered 1, 2, 3, 4, and 5) followed by a 3-wave corrective sequence (lettered a, b, and c).also it can an ident...

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    Building OCR model from [login to view URL](selected or region of intrest) information from id card using [login to view URL] the model and create pipeline of ocr.

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    Hi Sunil, as said in the chat...: https://www.freelancer.com/projects/tensorflow/Object-Detection-Tensorflow-Evaluate/details

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    Company Introduction USA Software development company in start-up mode with a software product that has been proven to be able to outperform its competitors in the market. We are looking for a self-starter, dynamic, fun, and creative developer to join our team. In addition whose specialty is User Experience and Human Interface design, with a strong focus on the Human-Centered Design approach. Onl...

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    I have a ML code written in python, already working, that uses the past stock value prices to train, predict and validate the stock values for a given share (e.g APPLE). I need to modify the code to train the model with all the information up to date and predict the stock values for the specified time period. *** First Milestone *** 1. Code shall be able to predict any given SYMBOL manually typed...

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    Critical thinking 1: Strategy & Industry Analysis Pick a Middle Eastern (preferably Saudi) company of your choice and conduct an Industry Analysis by answering the following questions: A. In relation to the four characteristics of successful strategies in Figure 1.1 (textbook p.9), assess the strategy of your selected company. B. Review Porter’s Five forces of competition framework (fo...

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    I want someone who can start quickly and help stroring the Facedata to database . I have Android source ready. Lets chat for details

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    data science 3 days left

    I have arranged the dataset for your ease. Now at the end you can find 22 columns (Players_1, Players_2, .......... Players_22). These columns are to be predicted one by one using chain classifier. For multilabel classification we have to implement various Models and at the end we will have a table having name of model and its accuracy score. the last 22 column of player names are to be predicted ...

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    Data science project for Deep learning. Build a neural network-based classifier that can determine whether the customer will leave or not in the next 6 months. Data Description The case study is from an open-source dataset from Kaggle. The dataset contains 10,000 sample points with 14 distinct features such as CustomerId, CreditScore, Geography, Gender, Age, Tenure, Balance, etc. Best Practices f...

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    We are using one OpenSource Libraries for Face Recognisation using Tensorflow and Facenet. Currently in Android it storing data in List and gets cleared once App is closed. How we can save the Face Object to Local Android Storage So we can reuse the data

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    OpenCv Image Detection 2 days left
    VERIFIED

    Hi Im looking for a Python Open CV Image detection expert who must have good experience with building data set, model, opencv and tensorflow.

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    Hi I have face recognition, Code using Tensorflow and Facelite. I need help storing the face object to Local Database in Android.

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    I like to make an android application using tensorflow to recognize objects. After object recognition a menu will show with options. Every option will connect with a YouTube video and show that video inside the app.

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    I have one Face Recognition App using Tensorflow and Facenet. I want to make very quick changes so it saved the Data on database. Currently it saves in flash memory and gets reset once App is closed. I want some someone who can start right away

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    I have one Android App Source using Tensorflow Lite and Mobile Facenet. Currently its storing data in Flash memory and deleting once App is closed. I need someone who can start right away and do couple of changes in App

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    DESCRIPTION Walmart, would like to predict the sales and demand accurately. There are certain events and holidays which impact sales on each day. There are sales data available for 45 stores of Walmart. The business is facing a challenge due to unforeseen demands and runs out of stock some times, due to the inappropriate machine learning algorithm. An ideal ML algorithm will predict demand accu...

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    Hi Sajjad T., I noticed your profile and would like to offer you my project. We can discuss any details over chat. Over View - I have tensorflow based model and I want to converted into tflite.

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    Project OUTLINE REAL-TIME OBJECT DETECTING USING SPIKING CONVOLUTIONAL NEURAL NETWORK In this research, a real-time object detection was planned to be processed using a Spiking Convolutional Neural Network (SCNN) with temporal coding into the AlexNet architecture with a novel adaptive chimp optimiser for real-time object detection. This novel Adaptive spiking AlexNet convolutional chimp optimise...

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    prediction customer satisfaction using cnn [login to view URL] prediction usinng ann [login to view URL]

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    I have a clean dataset that contains 10 features as shown in the attached figure and I want to build, train, and evaluate LSTM model with multiple layers to predict one of the ten features (GHI). The input sequence should be 6, which means the last 6 records are used to predict the next value. The model should be built using the Pytorch library.

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    Program will take data sample of heads and tails and try and detect a pattern. I suspect heads heads is more likely than heads tails due to bugged rng. I would like to verify this with tensorflow.

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    We need to train a TensorFlow Lite neural network with some set of images. The ESP32 cam should capture an image and be able to predict which object it is.

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    Make a model to predict the app rating, with other information about the app provided. Google Play Store team is about to launch a new feature wherein, certain apps that are promising, are boosted in visibility. The boost will manifest in multiple ways including higher priority in recommendations sections (“Similar apps”, “You might also like”, “New and updated games...

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    Hi Scott, I run a production team in the Arma 3 engine. Would you be open to offering contractual work for clients in the $$$-$$$$ range? Our website is here, [login to view URL] You'd be replacing Ampersand on the Arma page as our main scripter. Hours are a little difficult to predict but we have a client for you immediately if you're interested, payment is dependent on project bud...

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    Currently completing my doctorate in engineering. My work centers on proposing a new framework on how we view pavement lifecycle from the preconstruction stage to construction and post-construction. The framework is based on a BIM system with AVR technology to better visualised the captured information. The goal is to create a complete dataset of the road as it is used and maintained through out...

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    Troubleshoot my XGBoost R code classifier 1 or 0, the logistic model is working against the data set. However, my XGBoost R code does not work against the data set as the confusion matrix produces pred 0 1 0 0 0 1 423 465 when it should produce something like pred 0 1 0 338 350 1 85 115 Deliverables working XGBoost code versus my provided data set broken into training and test subsets with the ...

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    Troubleshoot my XGBoost R code classifier 1 or 0, the logistic model is working against the data set. However, my XGBoost R code does not work against the data set as the confusion matrix produces pred 0 1 0 0 0 1 423 465 when it should produce something like pred 0 1 0 338 350 1 85 115 Deliverables working XGBoost code versus my provided data set broken into training and test subsets with the ...

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    I'm in the Roofing and General contractor business. We have over 100 employees and need to keep track of low profiting jobs. We want to be able to predict potential profit before committing to a job. By using Excel spreadsheet, we could plug in some numbers and get an idea what the profit would be. I will be able to go into more detail on how we come up with the numbers etc.

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    Hi I have a spending cost data of last three months and I would like to predict the cost for this month. Its a quick task so I'll like to get it delivered asap.

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    Hi Armand I., I am looking for a ML developer that can help me with a tensorflow project. It is about human keypoint detection and the result should be a tensorflow lite model which I can use for mobile applications. I already have a small test data set annotated with coco annotator. Your task would be to setup the base project and write the code to generate the model. If this is interesting f...

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    Hi Nguyen Van T., I am looking for a ML developer that can help me with a tensorflow project. It is about human keypoint detection and the result should be a tensorflow lite model which I can use for mobile applications. I already have a small test data set annotated with coco annotator. Your task would be to setup the base project and write the code to generate the model. If this is interesting ...

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    Need to complete upto today 7pm IST Background : Dataset contains details of orders based on historical data. Objective is to predict estimated ship date and estimated delivery date based on the set of features once the order is placed. All date columns have time component which may be used to improve the accuracy. Day of the week can all be considered if required. Data points : RowNumber : Row ...

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    Hi, I want to predict the medical cost using medical claim dataset and demographics data which include: 1. Veteran dataset: PensionerRefID, Gender, Age 2. Payment dataset: PensionerRefID, PaymentNo, Amount, Fiscal Year Both dataset consist of data from 2015 to 2020. Based on data from 2015 to 2019, i would like to predict claim amount for 2020 then compare with actual claim of 2020..

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    Hi there: We need a python script (scripts) that is (are) capable of assign a "fraction" of the memory (one or more Nvidia GPU hardware) to a tensorflow processes. The ultimate objective is to keep alive many (at least two) processes with access to the own amounts of GPU memory respectively. For example, in the case of a 16 GB Nvidia Tesla Graphics Card, we could have 2 processes of tr...

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    1. Data preparation - cleaning of data set 2. Exploratory Data Analysis - to perform descriptive analysis for categorical data and determine which attributes most contribute towards churn 3. Algorithm model implementation and validation - Decision Tree, Random Forest & Logistic Regression (also include optimization model). Must evaluate its results and interpret their significance. Comprehensi...

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    i have a dataset from 2013 to 2018 I need you to predict if an accident will happen in 2018, this means that the test data is 2018 while train and dev is using 2013~2017 data. This can be done by any kind of model, for the data description, i will explain more. Deliverables The task needs to be completed within 24~30 hours, this is fixed. predict a 2018 accident make an accuracy result comparing ...

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    We are looking for an expert in Data Science, Deep Learning, Artificial Intelligence, NLP, Computer Vision Base Python Machine Learning to help us building various Models. A. Role & Responsibilities 1. Lead workstream projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. 2. Oversee the d...

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    *** SUMMARY *** I am looking for a developer with a lot of experience in TensorFlow 2 with C++, for a small generic DNN project. This project will involve creating a C++ Class with some simple functions that can take generic input/output data and feed it into a TensorFlow neural network, either for training, or output prediction purposes. *** REQUIREMENTS *** To qualify, you must be very advanc...

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    I need a econometrician or statistician to work with me on a healthcare data science project. Looking for people with an understanding of: - supply and demand modelling for healthcare using geography, age, sex, and medical issues - using population projections to predict future demand - regression and how it’s used with reference data and a population projections to escalate demand into th...

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    An Object Detection was done with Tensorflow 2. Several models were calculated. The task is to load the models or checkpoints and evaluate images or tfrecords and calculate appropriate parameters to describe the goodness of the model to decide which model is better. The data used for this example is the bloodcell data. Two models (A (Res_2021-06-04_17-24-57) and B (Res_2021-06-07_12-03-36)) were...

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    I am student of romete sensing and GIS. I have a data that includes XYZ values. At the first step I want to create cells via gridding X an Y values. at the second step Each cell will get avarage Z value corresponds to X and Y . Than I want to calcuate each cells slope angle. At the third step I want to predict that a given circle can locate or not in to those cells slope angle smoller than 15 de...

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    Hi, I have two measurement systems (System A & B) that are capturing data every 1 minute in json. I want to read the last 10 json files for each of them, and then using the same LSTM forecasting model, predict what the next value for each of them will be. Then whichever one is lower, we recommend that as the output. This will be done in python. Please, only bid if you can complete this by ...

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    I am looking for a good scientific writer who would write and Review article on Tensorflow in Natural Language Processing (NLP) in general. The text should be structured as follows: Introduction. Brief history of NLP. Tensorflow Background. Neural Networks in NLP. RNN. LSTM. CNN. NN vs Statistics. Data Preparation. Text pre-processing. Text post-processing. Audio transcription and processing. Avai...

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    Objective Congratulations, We have landed on mars and we are trying to colonize it. But the main problem we are facing is which plants we can grow at different geographical regions so that maximum number of plants would survive. Fortunately we have the data from earth to give us insights. Please help us in predicting which kind of plant we can grow at different locations depending on the en...

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