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    7,376 or Image classification using neural network matlab code tugasan ditemui, harga dalam USD

    In base paper present about handwriting digit recognition system using Local Binary Pattern as feature extraction method and K-Nearest Neighbor as classification algorithm. So I would like to do the same work by using Artificial neural networks (ANN) as machine learning classification algorithm. In base paper the testing result on this system shows

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    Download the dataset published by the Go...following link: [log masuk untuk melihat URL] The dataset includes condition information for different roads in the province. Using your knowledge of classification methods, can you suggest a model that is capable of predicting the condition of a road for an incoming year?

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    Classification Problem 6 hari left
    DISAHKAN

    Implementing and Testing Kernel Logistic Regression, Semi-Supervised kernel Logistic regression

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    ...data CSV file. This is a classification project with 4 inputs on the input layer and 4 outputs on the output layer. There are only 18 rows of training data and 7 rows of test data. I would like three layers in the hidden layer. This is a simple project so I can see how to read csv files into TensorFlow and train a network. Code must use python. The

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    ...interface with basic inputs to be logged as samples are being recovered from the boring. It may help to explain the required input and the desired output: - Input - We would be using the app to log samples recovered during a standard penetration test boring procedure. A standard penetration test is a drilling procedure where we log the encountered soil type

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    Need help in a machine learning and neural network project

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    ... Hot position: English content tagging (Part-time Job or Internship) Job description: 1. Tagging news articles & videos 2. Read the English news article and find the category & keywords Job requirements: 1. Have a good understanding of content(news),can quickly identify its classification, extract its keywords; 2. Priority will be given those who

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    I need someone who can implement a paper with nueral networks , fuzzy logic, and model using Matlab ,Please make offer for more details.

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    H...project which will not take more than 2-3 hours for the right person. Essentially, we need to use: - Logistic Regression for feature selection - Decision tree and SVM for classification You need to be available to work immediately for next 3-4 hours and you will work together with me to implement it. Please let me know if you are interested.

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    Help with r programming 4 hari left
    DISAHKAN

    I need help with some simple R coding, you must understand logistic regression, SVM, KNN, Classification tree and random forest. I have some code and a dataset that you need to look at. Please mention that you read this text and you can help me get my code fixed. Thanks,

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    Please write a 5 paragraph CLASSIFICATION essay on the following topic. the essay has to be double spaced new times Roman 12 and should be written in the third person tense. DO NOT USE " YOU". The thesis statement should be: A job classification correctly done, is through thoroughly describing its responsibilities experiences and education of the

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    build from scratch a tree classification algorithm in R. Feel free to contact me for further details.

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    Azure Machine Learning and Statically Analysis using R programming, Spark , Haddop mapreduce. Text classification, Sentiment analysis,Predective ecpriment.

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    Timely identification and detection of arrhythmia rhythms from ECG signals extracting heartrate(RR)signals. Using algorithms, we should be able to do the classification of different types of arrhythmia from classification of normal and abnormal signals. Therefore, speeding up the process to detect type of arrhythmia and reduce the prone to make errors

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    adversarial machine learning 3 hari left
    DISAHKAN

    You will create convolutional neural network for online database and fine accuracy of classifier then u will adding some poise it means exposure an attack to degregate classifier performance

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    build from scratch a tree classification algorithm in R. Feel free to contact me for further details.

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    Hello free...want to change that) 3. the accuracy sometimes is less than 100% please fix that bit as well 4. change the number of layers from 2 to 3 in the demo.m file at %Create the neural network 5. i have helping [log masuk untuk melihat URL] with details to help. 6. that's all I attach my project so far Kindly let me know asap so we can begin! Happy Biding :)

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    I need help with image classification api. This is simple project. API will return json file. If input image is trained, its confidence will be high , if not, its condition will be low (perhaps it is lower than 50%). Image data set is given. I'm looking for freelancer with good skills of tensorflow and python.

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    ...open source neural network library that is written in the Python language. It should be noted that it is capable of running on top of other frameworks/software libraries, such as Microsoft Cognitive Toolkit, TensorFlow, and Theano. Keras as a neural network helps to optimize a lot of functions, and is used to make working with image and text data

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    Project title- Emotion detection using speech recognition and facial Emotions to be detected- Happy ,Sad, angry , nervous Parameters to be included-zero crossing rate ,mfcc and energy level. Scope-Based on a given speech input we have to extract above three parameter then we have to detect emotion using neural network. Face recognition :- We have

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    Using the data from previous years, develop a neural network algorithm to predict crime count in St. Louis metropolitan. For instance, predict the number of vehicle theft for next month in the Compton Height area.

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    Using the data from previous years, develop a neural network algorithm to predict crime count in St. Louis metropolitan. For instance, predict the number of vehicle theft for next month in the Compton Height area.

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    We need to develop a AI Functionality where we would be able to identify object from a set of images to classify images that corresponds to a selfie. Our images are eterogenous and we provide images file and metadata in a CSV file. The output of the tasks is to provide the CSV file with the tag=Selfie for all the images recognized as a selfie. Moreover a simple web interface is requested to naviga...

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    We need to develop a AI Functionality where we would be able to identify object from a set of images to classify images that corresponds to a selfie. Our images are eterogenous and we provide images file and metadata in a CSV file. The output of the tasks is to provide the CSV file with the tag=Selfie for all the images recognized as a selfie. Moreover a simple web interface is requested to naviga...

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    Need a TensorFlow image classification application written that will be deployed to GCP's ML environment. See attachment for details.

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    ...candidates * Strong experience and understanding of US OPT/CPT Hiring * Knowledge of visa classification Terms Rules & Policies H1B OPT Stem OPT H4 EAD and TN Visa *Knowledge of Employment Type w2 Corp to Corp 1099 * Good Knowledge on H1 Transfers * Proficient in using Job Boards like Dice Monster LinkedIn Twitter Google Free Job Sites etc to source Candidates

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    Classify Youtube channels based on whether or not they would be a good brand fit for a meal kit delivery services

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    We need to develop a AI Functionality where we would be able to identify object from a set of images to classify images that corresponds to a selfie. Our images are eterogenous and we provide images file and metadata in a CSV file. The output of the tasks is to provide the CSV file with the tag=Selfie for all the images recognized as a selfie. Moreover a simple web interface is requested to naviga...

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    Deep learning AI 2 jam left
    DISAHKAN

    Hi there I'm looking for experts in deep learning AI , Tensorflow, Convolutional Neural Network, Artificial Neural Network capable of creating data capturing applications on windows platforms for employees and various 3rd party applications.

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    ...Mind Related Degree is not required Functional programming with Python, Scala or LISP. Apply AI/Machine Learning technology to solve real-world problems. Machine Learning and Artificial Intelligence (AI) techniques and tools such as neural networks, regression, classification and clustering. Manipulate high-volume, high-dimensional data from varying sources

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    I want somebody who is extremely good in English to help me write a technical report about the Artificial Neural Network Devices. It is not a report regarding the general information you find on Google. It has to be more scientific and including all the devices discovered so far in this field. In the attachment you will find a couple examples of scientific

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    we need a video to broadcast in TV with a chart (like sport ranking chart) we will provide you the excel file with the chart and you need to made a motion graphic vide...video to broadcast in TV with a chart (like sport ranking chart) we will provide you the excel file with the chart and you need to made a motion graphic video like f1 classification

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    Using ANN KNN KMeans Decision Tree SVM algorithms do the classification

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    Hello, I have written an article about the classification of ECG signal and denoising. I want to implement filterbank analize in the article and need to fix this asap. The material will be shared in chat.

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    I have a small data set with 10 input and 1 output variables. I expect to get a good fit with this data. What happ...but it does not work well with the test data. For this dataset, I expect good fit with both the training and the test data. Please bid on the job if you could help me. The code is written in R and working. My budget for this is $20.

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    ...have good machine learning back ground. The task is to segment different tumor regions using a "Resnet" (Convolutional Neural Network) Architecture. I have already implemented the problem on CNN architecture using Keras and tensor-flow. All relevant material and code will be provided which I have implemented so far. So the problem is to extend my wor...

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    Speech Recognition process using Neural Network approach.

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    - arduino based - i need to detect Carbon Monoxide (CO) and LPG by using at least 3 MQ gas sensors - fuzzy logic of classifying these two gaseous - full code of very simple to understand + comments - detailed project can be downloaded at the link

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    This is a complete project which is done using OpenCV 3.4, Yolo darknet and C++. All you have to do are: - Study the provided requirement doc - Extend classification categories - Remove false positives

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    ...exported to our customers DB, is it possible to set up a API? Or how can we transfer the data for our client. Admin user - Call center owner only one to be [log masuk untuk melihat URL] down/ Delete the system. IT administrator- has [log masuk untuk melihat URL] features of the admin but cannot delete or bring down or erase the set up or system must be able to se...

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    I want someone to implement Elman Recurrent Artificial neural network in Matlab. I will provide the details via pm. please bid if you can. Thanks

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    I need someone to rewrite Introduction Section related to Heart Arrhythmia classification using ECG signal to remove plagiarism. Writers with a background of Machine learning and signal processing will be preferred.

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    In this project, we intend to first introduce RBF, PNN and ANFIS algorithms (artificial neural networks algorithms and fuzzy logic) and then examine the output of these algorithms on real and artificial databases. Artificial Neural Networks A report is needed over 100 pages

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    we need to find R peaks of each signal using discrete wavelet transform And use Deep nueral which and give this both data as input of neural network and our network should effeciently classify difference between data of healthy person and data of person having first degree AV block disease.

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    ...from both signals of ECG which are generated from this data file Then we need to find R peaks of each signal using discrete wavelet transform And use Deep nueral which and give this both data as input of neural network and our network should effeciently classify difference between data of healthy person and data of person having first degree AV

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    I am looking for someone who can develop an ML platform with algorithm(s) using Azure that can analyse and predict the following: i) Future Stock prices for at least 15-20 stocks. The basic dataset (CSV) will have: - Time - Price - Change - Vol - Buy/Sell - High/Low The ideal platform should be able to: - Predict stock prices for the forecast at

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    Looking for a freelancer with experience in ML classification and probability prediction using R packages, eg xgboost, H2O etc. Please note you will need to demonstrate previous experience with similar tasks and how you finetune your algorithms.

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    I need someone to classify data related to heartbeat. Classification is to be assigned to the following classes: - a healthy heart - not the correct heart rhythm - too noisy, too poor quality to make any inferences - patients so sick that they are either dead or in the hospital - such recordings were deleted because the diagnosis itself would not bring

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