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    ...should consist of three parts as follows: • Background to Machine Learning Should compare the different types of machine learning, mainly Support Vector Machine learning and Neural Networks, supervised and unsupervised techniques etc • SVM Focused theory Theoretical background to SVM, equations, decision boundary, linear and non-linearly seperable, kernel

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    In this project, load forecasting need to perform using multilayer perceptron neural network trained by metaheuristic algorithm. The details of forecasting and metaheuristic algorithm will be provided later.

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    Looking for Machine learning engineer who can work closely with me in Hyderabad. The aim of the project is to build the best Neural network model for algotrading. With the help of historical data and time-series, Need to build a model to take the decision for buying and selling the stocks. Once the candidate/team is finalized, the detailed requirements

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    ...develop some software for me. I would like this software to be developed for Windows. I want an interface for creating original advanced written content through generative neural networks AI technology. This project is for an academic application but I can't build these. My organisation seeks to teach disadvantaged groups future skill sets through

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    ...software for me. I would like this software to be developed for Windows. I want an interface for creating voices and spoken words and speaking as if human, through generative neural networks AI technology. This project is for an academic application but I can't build these. My organisation seeks to teach disadvantaged groups future skill sets through

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    I need you to develop some software for me. I would like this software to be developed for ...to develop some software for me. I would like this software to be developed for Windows. I want an interface for editing natural photos and editing videos with generative neural networks. This project is for an academic application but I can't build these

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    I am looking for ex...knowledgeable person in this domain.. I would like my tutor to be good at the following Hands on in Tensor Flow, opencv,darkflow,yolo, on google colab knowledge in Artificial Neural Network & Different types of it Should be able to teach complex ideas with simplicity Looking for a friend, whom I can chat my doubts [đăng nhập để xem URL] project

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    Please send example of the NN you did before This project is only for experts having done many NN with TensorFlow The project is to build 2 simple Neural Network with Python3 and TensorFlow The project is described in the PDF attached

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    Multiple Projects. Long term Engagement. Min Masters degree. At least of 3 years exp with Machine Learning in a profession...Masters degree. At least of 3 years exp with Machine Learning in a professional setting. Reinforcement Learning etc. Knowledge of Econometrics helpful Exposure:: AI Tools Neural Algorithms Automated Trading Building Models

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    Deep learning machine learning usecases 3 ngày left
    ĐÃ XÁC THỰC

    I want to get an Idea or use case using Deep Learning or Neural network as I have skill of doing so, With the Idea I will build the product. So What i am looking for is 1) A fresh new Idea of a product which can be solved using Deep learning, description of the Idea 2) Is there similar idea exists on the market ? What makes me different 3) Idea should

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    Hi Surya P., I have another issue with my neural network and if you can take a look? :)

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    Need to crate simple ai fir picture analysis. We have photo of dishes and sales ratings data (how well this dish is sold) Need to teach neural network with this data so that a when new photo comes from our chef we can predict if this photo will get hi or low sales

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    ...data, which are not labelled. 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 Caf-feNet 1 and 512 dimensional GIST 2 features The task is to develop a binary-class classifi er that

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    Imputation missing time series data using neural network. Data is measurments of temperature per 30min of 8 years. With missing values.

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    Imputation missing time series data using neural network lstm.

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    ...[đăng nhập để xem URL] [đăng nhập để xem URL] [đăng nhập để xem URL] [đăng nhập để xem URL] We have windows 10 with pycharm We will provide a dictionary English-French (a large text

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    Waze Traffic Data Analysis 1 ngày left
    ĐÃ XÁC THỰC

    ...sample project to predict "traffic jams" from the same dataset. Sample project: [đăng nhập để xem URL] Whereas I need to predict accidents in the similar way to the sample project where SEQUENCES are used. Example Data: [đăng nhập để xem URL]

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    I am a Fourth Year , doing my final project . We want to design a system which can identify the gender of a...can identify the gender of a person . Using Speech processing first we need to do speech enhancing by removing noise , silence , framing window , and then train and test the neural network. To increase the accuracy we want Fused Based Model .

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    gender classification using neural network in MATLAB2018

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    ...performed as a preprocessing step ([đăng nhập để xem URL]) to reduce the number of features. Supervised learners You will experiment with the following learners. i) Neural networks (MLPClassifier in sklearn) ii) Naïve Bayes (MultinomialNB in sklearn) iii) Logistic Regression (LogisticRegression in sklearn) iv) AdaBoosting (AdaBoostClassifier

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    recurrent neural network matlab Đã kết thúc left

    The train/test split has been preserved for the purposes of benchmarking, but the sentences have been shuffled from their original order. Each sentence has been parsed into many phrases by the Stanford parser. Each phrase has a PhraseId. Each sentence has a SentenceId. • [đăng nhập để xem URL] contains the phrases and their associated sentiment labels. • [đăng nhập để xem URL] contains j...

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    Python to PHP neural network Đã kết thúc left

    hello, I ave codes for both python and php but the python code works perfect but the php code shows some logical issue ,not syntax ,I would like you to figure and fix it ASAP and we complete this session now. Thanks

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    .... I would like my tutor to be good at the following - Hands on in Tensor Flow - Conceptual knowledge in Artificial Neural Network & Different types of it - Deep Learning Models like Linear Regression to Kernel, SVM, Artificial Neural Networks - Should be able to teach complex ideas with simplicity - Looking for a friend, whom I can chat my doubts with

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    I am working on a deep learning neural network conversational agent that generates and reply to users by learning from a corpus. I need to build my own Arabic corpus in the form of post-reply and I want to collect it from Twitter Arabic users posts. (Arabic can be formal or non-formal)

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    Covert time series 1D data to 2D image code in Matlab or Python as input to Convolutional neural network for power prediction and calculate mse Data will be provided

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    as i doing emotion analysis using cnn ,i give the sample sentence and my code ,you want to calculate how the feature extraction and cnn working ..DONT NEED THEORETICAL EXPLANATION for LDA i give the sentence and u want to find how probability is calculated and based on that how lda assign topic to document MY BUDGET AND TIME IS LOW Dont need code

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    Hello I have set on power measurements 27 columns 14 voltage magnitude...where 1 is attacked measurements and -1 is normal measurements i want to use machine learning unsupervised learning (fuzzy c mean clustering) and supervised learning Recurrent neural network to detect the attack and find the accuracy, recall and precision for the detection model

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    Dear all, I want this project for educational purpose. A multi label text classifier is need to be build applying CNN model with the help of libraries such as Tensorflow and Keras. The model will be able to assign labels(one or more than 1) to a given sentence froma list of predefined categories. For example if we have a sentence " I will play football and then drink beer" . So this sent...

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    We are looking for a person who would find technical content writers/bloggers willing to write paid blogs. These blogs would be publish...1000+ claps on medium, blog on the first page of google results when searching for popular technical deep learning terms/topics like "object detection on raspberry pi" or "neural style transfer using deep learning".

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    DNN using python Đã kết thúc left

    I need to build a Deep Neural Networks model With Python

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    1- part one: a) count cars B) know the velocity c) use...cars B) know the velocity c) use ip tplink n200 camera 2- part two: a) enter the numbers of vehicles and the speed in the code of the simulation SUMO b) achieve to enter a neural network with the new street 3- part three: a) have an output variable with green time values ​​for each street

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    Small neural network work Đã kết thúc left

    Small neural network work with LSTM.

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    ...operates. Mininet operating [đăng nhập để xem URL] system that works on the proposed forensic [đăng nhập để xem URL] proposed system includes two algorithms for intrusion detection and attack using neural networks and artificial intelligence and this requires their operation on a phantom system [đăng nhập để xem URL] is not recommended to use a laptop because the intel virtual property i...

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    Hello, I need a complete system that I recognize with an IP camera (tplink) cars to count them and I passed them to a neural network that trained the sumo(simulstion of urban mibility) so that it gives me a proper time to see inside an intersection that I already have it, I have basic codes that I would like to be modified and have a report uml diagrams

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    Prediction using Graph CNN Đã kết thúc left

    This is a long term project. I need someone who is good at Neural Networks

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    I want to classify the images into eight labels using CNN (convolutional neural network) or other deep learning techniques (GAN etc). These images are the vessels (merchant ship and towing ship) light at night. I cut the noise from the raw image using Paint program by manual. Challenge; 1) The pixel size of all images is different. It is because

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    I want someone to build an ensemble model, using machine learning and artificial intelligence (in R), which will have four models. The...artificial intelligence (in R), which will have four models. The models will be built within the climate space. More details to be provided. Key techniques are: deep learning, neural network, artificial intelligence.

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    Stock Price Prediction Đã kết thúc left

    Predict the stock prices (If it raises or falls next day) using previous stock data. This project should include Tensorflow - Neural Networks and Linear Regression algorithm (Machine Learning). It should also include statistical analysis of the dataset, and exact model structure and accuracy. Evaluation of results with documentation is needed. ( Using

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    Neural Networks Help Urgent Đã kết thúc left

    Need help with Kohonen and Backpropogation Neural Networks

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    I need you to do a subject project .. And It's about desicion tree and neural network , based in some data for mobile usage.

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    neural network based model in machine learning

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    AI NSL Texting app Đã kết thúc left

    I need an Android app. I would like it designed and built. It has to be able to text an ai system with an Neural Sketch Learning api.

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    ...abnormal class using support vector machine classification algorithm. Now pending work is to implement Work 1. : 4 class using SVM( Support vector Machine,) And artificial neural network Work 2: Then I want to implement optimization of SVM using either cuckoo Search engine or Partical swarm optimization Using Matlab 2018. Here I am attaching all coding

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    Neural Network Đã kết thúc left

    In this Project you will implement multi-layer neural networks on the CIFAR-10 image classification dataset. The goal of this Project is to understand the fundamentals of neural networks and backpropagation. Specifically, you will write your own backward pass and train two- and three-layer networks with ReLU and sigmoid nonlinearities. Will get experience

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    Financial time series forecast Đã kết thúc left

    I would like to work with a professional, who can create and share any new ideas to forecast financial time series dataset using Neural network model and the techniques that can achieve the best performance results. - you must show me what will you plan to do, explain the algorithms and mathematics and also expert programming by implementing the

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    as i doing emotion analysis using cnn ,i give the sample sentence and my code ,you want to calculate how the feature extraction and cnn working ..DONT NEED THEORETICAL EXPLANATION for LDA i give the sentence and u want to find how probability is calculated and based on that how lda assign topic to document MY BUDGET AND TIME IS LOW Dont need code

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    We are looking to create a deep learning model (Artificialk Neural Network) using Keras/Tensorflow and embed it within our software to be used in production. The candidate should be well versed with Python, Keras and Tensorflow. Will be tasked with preparing a model and then subsequently embedding it within our software framework. Should also be well

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    Neural Network MultiLayer Đã kết thúc left

    In this Project you will implement multi-layer neural networks on the CIFAR-10 image classification dataset. Specifically, you will write backward pass and train two- and three-layer networks with ReLU and sigmoid nonlinearities. hyperparameter tuning and using proper train/test/validation data splits. More details are mentioned in the files.

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