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    The competition is a bi...labels for the test data set. Each data instance is represented as a 4608 dimensional feature vector. This vector is a concatenation of 4096 dimensional deep Convolutional Neural Networks (CNNs) features extracted from the fc7 activation layer of CaffeNet and 512 dimensional GIST features Additional material will be supplied

    $46 (Avg Bid)
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    ...project in details. Let me clarify a bit about my project for better understanding. It's a project about object detection, classification, and tracking using Convolutional Neural Network. The project is already done and working fine. The method used in my project is Single Shot Detector(SSD) and language is C++ using OpenCV library. I don't need anybody

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    Diğer ya da belirsiz Python 1-) Find a real world data (like facial expression recognition data)([login to view URL]) 2-) Run your gradient-descent based implementation (Course Code)([login to view URL]) of Artificial Neural Networks on data 3-) Run built-in Artificial Neural Networks using Keras library (Course Example)(https://bit

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    Diğer ya da belirsiz Python 1-) Find a real world data (like facial expression recognition data)([login to view URL]) 2-) Run your gradient-descent based implementation (Course Code)([login to view URL]) of Artificial Neural Networks on data 3-) Run built-in Artificial Neural Networks using Keras library (Course Example)(https://bit

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    ...represents a key-man risk for the firm. Tripple’s junior consultants have varying degrees of experience, ranging between one to five years. We are looking for an employment, recruitment and placement specialist to find Business Analyst/Management Consultant contract roles for the junior consultants within the Financial Services sector or with FinTechs

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    Diğer ya da belirsiz Python 1-) Find a real world data (like facial expression recognition data)([login to view URL]) 2-) Run your gradient-descent based implementation (Course Code)([login to view URL]) of Artificial Neural Networks on data 3-) Run built-in Artificial Neural Networks using Keras library (Course Example)(https://bit

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    ...test paper and write this records to a database. It should be able to export the attendance record and Mark records to an excel sheet. I would like to use Artificial Neural Networks to scan for the student number on a student card as well as to scan for a student number and marks on a test or exam paper. It should use a camera for scanning. I would

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    Logo Design 6 days left

    ...customer service and operations. There will be a strong customer service focus for this business. Looking for someone to design a logo for a consulting business called MGMT Consultants. Hoping for a simplistic design that looks good on all sorts of stationary, letterheads, etc. Also something in a warm colour scheme that will look good on a website. Blues/Greens

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    Our Home-based Consultants use their passion for travel and lifestyle to surpass client expectations by constantly striving to create unforgettable trips. Creating unique travel & lifestyle experiences. Knowing what your customers want before they do. Required skills: A good knowledge of travel and world geography Knowledge of travel reservation systems

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    I need you to develop prototype system for Emotion recognition based on image processing and neural network in matlab.

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    I need to create word sense disambiguation system either using neural approach or knowledge based approach

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    to build and write a content about an artificial neural network and search engine optimization for digital marketing

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    Diğer ya da belirsiz Python 1-) Find a real world data (like facial expression recognition data)([login to view URL]) 2-) Run your gradient-descent based implementation (Course Code)([login to view URL]) of Artificial Neural Networks on data 3-) Run built-in Artificial Neural Networks using Keras library (Course Example)(https://bit

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    3 bids

    Diğer ya da belirsiz Python 1-) Find a real world data (like facial expression recognition data)([login to view URL]) 2-) Run your gradient-descent based implementation (Course Code)([login to view URL]) of Artificial Neural Networks on data 3-) Run built-in Artificial Neural Networks using Keras library (Course Example)(https://bit

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    ...data set. Neural Network Linear Classifier. Perceptron Here Support Vector Machine Linear Classifier. ^^Two Features(As is a linear classification) ANN complex classification - feed forward Neural Net SVM non linear classification - use of kernels and feature space i.e RBF kernel If possible C support vector classification and Neural Network Backward

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    odoo consultant 5 days left

    We are planning to implement ERP with either ERPnext or ODOO. We want implementation consultants for the same domain.

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    A good WebBased Application should be on PHP, which will run on client domain. [login to view URL] The key modules in the software include: Multiple Staff login with User rights Student Login Student Information Management Search Student with Name & Application Number University / Courses Application Tracking Immigration Management Volunteer / Internship Applications Invoicing - Advance Pay...

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    You won’t just help our customers see the world, you’ll help them truly experience it. Our Home-based Consultants use their passion for travel and lifestyle to surpass client expectations by constantly striving to create unforgettable trips. Creating unique travel & lifestyle experiences. Knowing what your customers want before they do. Required skills:

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    I would like to get functional Odoo consultants' remote support of team of two engineers setting up Odoo 11 POS system. Including POSBox and selecting an extension to loyalty card payments. The extension need to be compatible with eCommerce module. Implementation of eCommerce is not yet needed at this point. Skills required: Odoo 11, [login to view URL], Odoo

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    Given input X-ray image i want to build a cnn model which takes input as an image and predict the disease the person is suffering from.

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