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    2,920 use neural network matlab code 仕事が見つかりました。次の価格: USD

    need a help of python expert for deep neural network model for regression prediction

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    Deep learning 5 日 left

    Present model for universal image steganalysis in forensic Application Use Deep convolution neural network to predict embedded image if stego or cover. Use appropriate measurements to check accuracy and validation. Use Matlab for coding. Design application for this model.

    $22 / hr (Avg Bid)
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    Please help me implementing [ログインしてURLを表示] or a better algorithm using Tensorflow on GPU and Tensorflow Lite on Android. The input video is 360p/30 and the expected output is 720p/30. A term paper type performance and quality evaluation needs to be provided.

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    Need a prototype for Signature verification using neural network. The Idea is that we have a database of signature and we have to create and train a model such that when we scan a signature and run the code The algorithm will give us the probability of the signature. For reference :- [ログインしてURLを表示]@ageitgey/how-to-break-a-captcha-system-in-

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    NN horse race prediction 5 日 left
    認証完了

    Create a neural net model to provide a probabibility for horse races. Must know NN very well in order to beat results obtained from Logistic Regression Using R, it consists mainly in retrieving the probability provided by the created model, normalizing this value for each race, turning it into odds and ranking them, so as to get the best possible ratio

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    Trophy icon Logo for the AI Skincare company 28 日 left

    Design logo for company working in computer vision and artificial intelligence for skincare. We use neural networks, machine learning, statistics analysis. Company uses images and lifestyle data to analyze skin condition. The idea of our company is to make people healthy and good looking, preserve youthful look. Core idea - skin analysis with AI. Name

    $20 (Avg Bid)

    I want a simple Network that use the Convolutional Neural Network able to do create an High Resolution Image from a Low Resolution Image. Requirements: - Image Reading through [ログインしてURLを表示] library - Model must be use convolutional nn. - Prediction must be use the weights trained from the model builded. - Prediction comparison must be done:

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    Present model for universal image steganalysis in forensic Application Use Deep convolution neural network to predict embedded image if stego or cover. Use appropriate measurements to check accuracy and validation. Use Matlab for coding. Design application for this model.

    $541 (Avg Bid)
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    19 入札
    $30 平均入札額
    1 入札

    Already created a artificially intelligent that predicts lottery numbers. Want to upgrade accuracy and batch predict

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    I need help from Neural network expert. He should have easylanguage/Tradestation experience. If he/she can use OpenNN, it is plus. The job description will be given to an appropriate candidate. The budget is negotiable. Please don't hesitate to bid. I need this job done as soon as possible. Thank you

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    We are looking for someone proficient with python coding and machine learning techniques. The person needs to implement neural network using tensorflow.

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    Hi I would need your professional support regarding CNN system, I have no idea with the price but let's discuss more about it

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    We are looking for someone with skills in python, tensor flow, neural networks, chat bots, Google Voice assistant's API and google duplex. Someone with over all automation experience and capable of creating Web based applications with a database in the backhand and a dashboard with a querying system on the front end. We would like to have the ability

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    Essay Writing 終了 left

    Hardware acceleration for computer intelligence • Class of microprocessor/computer system designed to accelerate artificial neural networks, machine vision and other machine learning algorithms for robotics, internet of things and other data-intensive or sensor-driven tasks. • SW, GPU, FPGA, ASICs, Heterogeneous computing • Examples: • Virtual

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    perform RNN (recurrent neural network) on dataset in python using LSTM pr GRU

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    ...Predict every next 10 min. - Visualize prediction between 1 SEP 2018 - 30 SEP 2018 Requirement - Using Jupyter Notebook (.ipynb) - Python (Keras) Neural Network should not overfit. - Visualize with Seaborn - Code Comment (rough) just tell what you do. Data from [ログインしてURLを表示] bitstampUSD_1-min_data_2012-01-01_to_2018-11-11

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    Doing a small project and need help in testing data and doing experiments. Will give more details.

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    I need someone doing clustering with Growing Neural Gas algorithm for me. Please state if you have any experience with that or related technologies. For info see [ログインしてURLを表示] [ログインしてURLを表示]

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    Hello, I need a Machine Translator (similar to services such as Bing, or Google, Translator) built. Need an Neural Network system, built, trained, and capable of learning to languages to translate.

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    ...scans the pre-OS (firmware) of devices against a whitelist of approved firmware and, by using ML/neural net techniques, will check the integrity of firmware, ensuring that only approved firmware is operating and blocking untrusted updates. A Neural Network can ensure the detection of altered firmware at runtime or each time a firmware update is requested

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    ...scans the pre-OS (firmware) of devices against a whitelist of approved firmware and, by using ML/neural net techniques, will check the integrity of firmware, ensuring that only approved firmware is operating and blocking untrusted updates. A Neural Network can ensure the detection of altered firmware at runtime or each time a firmware update is requested

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    Need some help on Neural Network Questions.

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    7 入札

    ...developer from India and eager to learn and earn together I apologize for contacting here. I am skilled in basic programming of some languages, and currently learning deep neural networks. Also getting good projects on freelancer.com., but i want to expand more and want to work with u. Contact me, if there is any work for me. Thanku ...

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    email spam/ham 終了 left

    The goal of this project is to use the machine learning skills and algorithms to build a model which will help predict if the incoming email is spam or ham. The idea is to create some tool which can be used as webservice over the internet which can take an email as input and filters it as spam or ham as well as show the amount of accuracy on the prediction

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    I need someone to build a cardiac arrhythmia predictor using deep learning with accuracy greater than 94%

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    Improve a neural network model using capsule neural network.

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    ...OF THIS INCLUDING FAB, ASSEMBLY, BOM! Use inexpensive microprocessor from Rockchip, Allwinner [ログインしてURLを表示] should be Android. Decode 4K a/v stream, record from microphone input. Download and run Android apps. No AI, neural network or image recognition required. Be able to drive dual touch screens (1080P each). Use existing SBC reference design from microprocesso...

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    task related to Neural Network Toolbox, for more information make your offer

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    ...state your expertise In one of these key areas of specialization: >> AWS for Big Data, Azure for Big Data, Cloud Architecture Advanced Concepts >> Artificial Intelligence, Neural Networks, Advanced Unsupervised learning models, Natural Language Processing, >>Advanced GIS methods, vizualisation, & Tools: Kepler, Mapbox, GoogleMaps API, Relevant dis

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    i am a researcher , need to implement deep learning algorithm based Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM) to detect changes between two images

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    I have attached an dataset that I have solved with neural network and I am getting a reasonable solution. I would like to set up two additional solutions for the same data set with Gradient Boosting and Random Forest. Keep the code simple. In addition to the three plots I have, it must also include a plot that shows relative importance of the variables

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    In this project, I want to code two algorithms using Matlab that make the weather forecasting, where each of them has been well explained separately in each paper. Find with the two papers, the train data and the test data.

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    Our project that deals with the use of a recently proposed technique in literature: Deep Convolutional Neural Networks (CNN). These deep networks will incorporate information from several different modes by a User Interface (UI) with AI-Assisted techniques behind. Therefore, we aim to develop a Medical Imaging (MI) Assistant that will assist physicians

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    Topic: Deep neural networks for temperament based career path recommendations 1000 words/3 pages Instructions: Write a research paper for publication in IEEE with the above mentioned topics. You can modify the topic if the need arises. The scores will be given only if the paper is accepted by IEEE for publication. Download the format for IEEE online

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    11 入札

    Our project that deals with the use of a recently proposed technique in literature: Deep Convolutional Neural Networks (CNN). These deep networks will incorporate information from several different modes by a User Interface (UI) with AI-Assisted techniques behind. Therefore, we aim to develop a Medical Imaging (MI) Assistant that will assist physicians

    $262 (Avg Bid)
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    16 入札

    ...leveraging latest AI technology. The mobile app will take an image or video and upload it to the server which will perform analysis and estimate car price. Please use phrase 'AI neural networks' in your bid as an indication that you really are human not a bot. Continuous work will be provided. Seeking long term cooperation. You will have an opportunity

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    Python code to test different Tensorflow models for our own datasets. We want to take our tagged images and apply transfer learning to models to recognize the features that we tag in our images. Input data: Our images (jpg & png) and XML files (containing object tag information: labels and coordinates). Functional requirements: Apply the input

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    I need a project in matlab for digital image processing using artificial neural networks

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    1 入札

    Real Life Size Recognition of an Object by Capturing an Image Using Artificial Neural Network MATLAB

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    LSTM Hybrid with 2 D RNN LSTM Hybrid with 2 D Recurrent Neural Network

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    Python code to test diferent ML Algorithms and neural network for my own dataset. Input data: dataprocessing, markets prices and stats Methods: mainly SKLearn and TensorFlow algorithms, and it may be suggested another more feasible

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    LSTM Hybrid with 2 D RNN LSTM Hybrid with 2 D Recurrent Neural Network

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    ...have found sample code that I currently have running from Pix2Pix, a GAN Sample Code project located here : [ログインしてURLを表示] and whitepaper here: [ログインしてURLを表示] I would like to further develop the sample code and change it to my needs. If you are an expert in Neural Networks, Keras

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    I am looking for someone to recreate the code from the following paper with one working example [ログインしてURLを表示]~ali/papers/PDEandDeepLearning.pdf#chapter.1 I am interested in an implementation of 6.5 (and possibly 6.2) This is a deep learning code written in Python/ Tensorflow. [ログインしてURLを表示]

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    I have some data from a brazilian soccer fantasy game (Cartola FC) ...(Cartola FC) from older editions. The first task is to pre-processing data (removing null values, etc). After i need to run some regression algorithms: Decision Tree, Artificial Neural Networks, Support Vector Regression and Random Forest. Then I need to execute some experiments.

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    Implementation of a neural network, please contact me for more details.

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