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    Deep Learning CNN In Python CNN in Python to classify special images on the Dataset. The methods used in the code are those described in details we provide after the agreement and may be improved. The Training accuracy must be better than 95% on any label The validation accuracy must be better than 85% on any label The testing accuracy must be better than 80% on any label The code should be he...

    €607 (Avg Bid)
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    I'm training a video classification model using TensorFlow and Keras. Currently my data pipeline is a custom generator than reads the raw video file, do some preprocessing and feed the processed data into the model batch by batch. However, this is really slow and not scalable to large datasets. I'm currently running the model on my university's high performance computing server, wh...

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    Using the Data Generators in Keras code here is the link ([se connecter pour voir l'URL]~shervine/blog/keras-how-to-generate-data-on-the-fly) work with this code, and albumentation augmentation code to start the training of CV model

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    Freelance Telemarketing S'est terminé left

    Membutuhkan Freelancer Telemarketing Kriteria : 1. Pria/Wanita 2. Berpengalaman dalam telemarketing 3. Usia < 40 tahun 4. Memiliki komunikasi yang baik (persuasif) dan ramah 5. Jujur, ulet, dan pekerja keras 6. Dapat berimprovisasi dan memiliki inisiatif tinggi 7. Fokus pada target 8. Memiliki telpon rumah atau handphone 9. Memiliki keahlian Ms. Excel yang basic untuk data input 10. Me...

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    Hello, I need a Python programmer to help me with an issue. I want to train a deep neural network in R using the keras and tensorflow packages. However, two keras commands do not work, namely: to_categorical() and keras_model_sequential(). I mainly receive two types of errors: Installation of TensorFlow not found OR Python module [se connecter pour voir l'URL] was not found I have tried ...

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    looking to do hyperparameter optimization using three algorithms: 1- grid search, 2- Bayesian optimization 3- genetic algorithms. Dataset: 1- Santander Customer Transaction Prediction Dataset ( from Kaggle) this has to be done using KERAS (can be change) to build NN The input layer dimension fixed to 200, same as dataset features number and activation function to “relu”, while output ...

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    I need to measure the dimensions of a 3D model feature using camera vision in the OpenCV tool and use image processing of that model to gain a better quality of an image. -I need to implement a Convolutional neural network with Keras to predict the futures of the models/objects to gain the Performance measure on multiclass classification accuracy, for train and validation of the object or model....

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    the project translob on github is incomplete, needs assembling and a missing ipython notebook to run the experiment in the paper. fragment of files here [se connecter pour voir l'URL] it is loosely based on deeplob also on github here [se connecter pour voir l'URL] which has a working model and notebook. the project is to recreate the missing notebook in the translob github so that th...

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    I need the implementation of a paper which is based on a CNN model to segment blood in brain CT images. The method is attached as a pdf file. There are 36 CT images along with their labels. The paper uses 25,000 unlabelled images to help the supervised training; since I do not have this amount of data, I'm going to use 20 images for training, treat the 10 images as unlabelled, and 6 images ...

    €156 (Avg Bid)
    Urgent
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    Help with fizyr keras-retinanet S&#039;est terminé left

    I have a ubuntu server running 18.04 and have used conda to install tensorflow gpu. But after installing tensorflow gpu via conda and installing numpy etc my code for fizyr keras-retinanet fails to run. Let me know if you can help. Looking for someone that has some experience with fizyr keras-retinanet

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    I am in a voluntary research group at my University, I have been asked to help adapt some models made in R using Keras-tensorflow. I have limited experience with either. After 2 weeks I am stuck on a number of errors that I have been unable to resolve. Some errors arising from my inexperience working with tensors or atomic vectors. Others due to deprecation of some functions like fit_generator(...

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    we have to observe our live webcam/video stream where products will go through, on the products (t-shirts) are designs placed - this design has to be compared with the original image from DB. if there is something wrong with the image comparing, then set some value in DB. for example [se connecter pour voir l'URL] [se connecter pour voir l'URL]

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    Hi I need to increase the accuracy for a model based on keras. Also, I need to find the model prediction and inference time. Its not very big work. Let's talk. Cannot pay more than the project bid amount.

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    Forecasting of weather variable using time-series geospatial data with the help of LSTM. One should be able to do the following: 1. Crop netCDF file for a region using latitude and longitude (100 years monthly multiple variable data) 2. extract variable values for a time period from the cropped region 3. process/parse/normalize geospatial data for multiple variables 4. use deep learning models ...

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    KerastoPytorch S&#039;est terminé left

    I want help to convert keras based code to pytorch framework. I basically look for someone with deep understanding in keras as well as pytorch, since the basic work in here is the conversion of keras code to pytorch.

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    replicate the results in python 3 in the following paper: Generating virtual scenarios of multivariate financial data for quantitative trading applications [se connecter pour voir l'URL] more details here: [se connecter pour voir l'URL] and here: [se connecter pour voir l'URL] there are various WGAN repositories on github that can be used a starting base, for example [se connect...

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    Teks laporan hasil observasi adalah teks yang memberitahukan  atau menjelaskan kegiatan pengamatan yang dilakukan terhadap suatu objek terkait suatu informasi secara sistematik dan objektif. Struktur teks laporan observasi adalah 1) pernyataan umum yang berisi tentang hal yang akan diamati dengan menjelaskan penggolongan atau klasifikasi benda atau sesuatu yang menjadi perhatian pengamatan...

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    Hello everyone! Currently I'm looking for a Data Scientist specialized in the field of Financial Data Analsysis, Regression and Deep Learning including RNN, LSTM, etc. to apply in the cryptocurrency markets. ATTENTION: At the moment I only want to hire for Phase 1! But OF COURSE I am looking for a developer who has the necessary technical and interpersonal basis for intensive, friendly and ...

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    Enhance deep learning/python code S&#039;est terminé left

    Code uses tensorflow keras to classify medical ultrasound images. It uses transfer learning to develop model to use in predictions Knowledge of python is required as well as flask Some enhancements in following areas 1. Review and enhance training and prediction code written using python and tensorflow keras numpy 2. The transfer learning and model needs reviews and upgrade 3. The model I ha...

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    Complete keras notebook tensorflow S&#039;est terminé left

    the project in translob on github is incomplete, needs assembling. files here [se connecter pour voir l'URL] it is loosely based on deeplob also on github here [se connecter pour voir l'URL] which has a working model and notebook. the project is to recreate the missing notebook in the translob github so that the results in the paper in that repository can be correctly replicated. the F...

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    Simple OCR S&#039;est terminé left

    Make a simple OCR model with keras and Python. Use the created model to recognize or extract text in real time using webcams

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    Hi, As part of our Data Science team, you will lead and execute on the development of advanced deep learning models in a variety of domains such as Natural Language Processing (NLP), image processing etc. We are focusing on developing and deploying AI products into Albert as platform capability grows. The work from our data science team then gets seamlessly integrated with our software team to d...

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    Hi, I've a Python Machine Learning Keras model and an android App which is ready. I need someone who only can take the ML model of extension .pb and import it in Android app.

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    Deploy Machine Learning in Android S&#039;est terminé left

    Hi, I've a Python Machine Learning Keras model and an android App which is ready. I need someone who only can take the ML model of extension .pb and import it in Android app.

    €6 / hr (Avg Bid)
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    please do message me if you have worked on uart or any object detection project, I've 90% of it complete, just need to solve some errors. message me if you are interested

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    Running Keras / Tensorflow on GPU S&#039;est terminé left

    i have a python script that is wrote using the Keras Library. I would like it to function utilizing the GPU. I have it sitting on a 4X Nvedia GPU server but it does not seem to utilize the GPU. looking for someone to make this work properly. all tests (with tensorflow and keras) show that the GPUs are actually detected fine need an expert in running python scripts / Keras utilizing GPU

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    Deep learning signs detection-1 S&#039;est terminé left

    I have collected too many photos and categorized them I want someone who is able to choose the best deep learning approach CNN, RNN..., and tools i.e Keras .. etc and justify why the chosen approach is better please answer 1 + 1 = ? in the first line of ur proposal

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    Deep learning signs detection S&#039;est terminé left

    I have collected too many photos and categorized them I want someone who is able to choose the best deep learning approach CNN, RNN..., and tools i.e Keras .. etc and justify why the chosen approach is better please answer 1 + 1 = ? in the first line of ur proposal

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    I have functioning Keras / Tensorflow in RStudio code that trains up a NN. But, I now need to retrain with different output layers using different optimization criteria for the outputs. Between TF bugs and a shortage of usable examples, I need some help. So, if you can help with the above, I could have you help with some additional tasks too. Again, needs to be in R (I don't know Python) and...

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    LSTM Algorithm S&#039;est terminé left

    Need to build an LSTM algorithm to predict sequence categorization. Algorithm ideally built on Keras or Tensorflow. API and SQL experience also needed.

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    Knowledge engineer/data science S&#039;est terminé left

    Must have: Semantic semantic network (SPARQL, linkde Data, RDF, OWL, swrl, RuleMl, etc.); Experience with ontologies ; Experience in operating and / or developing a knowledge storage system; Experience in the development of inference systems. General IT requirements: Knowledge of Python3 / C++ / Java; Understanding complex data structures; Understanding and experience with SQL like queries; Knowl...

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    I am working on time series anomaly detection project using unsupervised approach which is forecasting based. I have python based code written for anomaly detection approach which classifies anomalies by comparing actual value with predicted. Deep learning models are implemented using torch. I need to convert it using keras library instead of torch and improve the code in terms of any idea that co...

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    Machine learning demo S&#039;est terminé left

    Hi. I need some help to build a Jupiter notebook (Python) for teaching how to: - define and train a model to binary classify dogs vs cats using AWS sagemaker - deploy the model to sagemaker - test it with random images from cats and dogs There are a couple of similar tutorials online but they need some improvements and I'm in a hurry: [se connecter pour voir l'URL] [se connecter pour vo...

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    I want to build an application through which I can extract text from a photograph. The text could be label items on objects. This will require deep learning and computer vision skills like OCR, openCV, Tensorflow, Teserract and using Keras

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    The task should be done in Google Colab with Python: I want to use Pose Estimation in Google Colab in order to upload an image and get coordinates of key points from the image. So I upload an RGB image of any size then transform it into numpy array. Pose Estimation gives me a dictionary with each key point annotated by 2 numbers - index of the pixel along axis 0 (Y direction ) and axis 1 (X dire...

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    text to speech, AI, "DC TTS" S&#039;est terminé left

    I'm looking for a tutor who could teach me on a practical project, I'll give you the project link from github, and you tutor me by rebuilding the same project in keras framework

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    I am looking for Tensorflow expert. S&#039;est terminé left

    I have Human Activity Recognition using Accelerometer and CNN task using Keras. So if you are Tensorflow & Keras expert, please bid now.

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    Hi I am looking for expert in developing deep learning models using Keras API, Tensor Flow and Python. the details of project is attached. please go through the attached document carefully and please contact if you find this suitable for you ,as implementation of the same is expected earliest. please participate on the biding if you are sure enough to delivered the mentioned objectives in attached...

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    Flight Delay Prediction Model S&#039;est terminé left

    I need someone to build a flight delay prediction model using artifitial neural network for academic purpose. The model should use pandas, tensorflow and keras. The model should take input from a dataset, train the neural network then test it. I uploaded a file of another ANN that predicts if a bank customer could leave the bank or not with the dataset as a sample and and it should be similar to i...

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    Artificial Neuronal Network S&#039;est terminé left

    Need someone to develop a feedforward neuronal network with Python and Keras and based using on the MNIST data set. The goal is to test different hyperparameters of the model and to determine the performance of a final model with the best possible combination of hyperparameters.

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    Project for Aleksa F. S&#039;est terminé left

    Hi Aleksa F., I was wondering if you are familiar with deep learning libraries such as Keras, Tensorflow.

    €43 - €43
    €43 - €43
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    I want someone who is expert in CNN, LSTM, GRU. PYTHON , TENSORFLOW, KERAS You should have GPUs, because i will provide u with dataset, if u don't have GPUs , please don't comment My project is to creat a license plate recognition, I have some already written codes in github but needs some arrangements and developing . money will be paid when its done !! more details in private

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    Hi developers! My company needs a python module that can recognize two classes of "objects" in low-resolution images. The "objects" to be recognized are specific characteristics (anomalies) of the photographed surface. The stack is python + keras. The developer will receive a few thousand images already labeled for the two classes of anomalies and will have to create a neural...

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    Q learning program S&#039;est terminé left

    I am looking for someone that can program a deep q learning bot with keras. the bot will receive live data stream and take actions based on the data.

    €7 - €13 / hr
    €7 - €13 / hr
    0 offres

    Data Description: You are provided with a dataset of images of plant seedlings at various stages of grown. Each image has a filename that is its unique id. The dataset comprises 12 plant species. The goal of the project is to create a classifier capable of determining a plant's species from a photo.

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    Deep Learning Model -- 2 S&#039;est terminé left

    I am looking for someone familiar with VAE, RNN, and GAN. Please if you do not have an experience with these do not replay. Also, new account or accounts with empty profile, do not replay There is an existing deep learning model that we trying to improve the results little bet. The model is coded already. Link: [se connecter pour voir l'URL] Paper: [se connecter pour voir l'URL] I...

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    I need a professional freelancer who can complete my task. You must have knowledge of tensorflow and keras.

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    Computer Vision expert with Python S&#039;est terminé left

    Implement 'Test Time Augmentation' and 'Weighted Box Fusion' techniques in existing YOLOv4+Keras/TensorFlow 2.0 project. these techniques may boost the current mAP score of the model. Reference code is available in pytorch. ping me if you can add these two.

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    I need an expert that can do hyperparameter optimization and find an optimal CNN architecture. The freelancer would have to implemet 1D CNN and 2D CNN. And preference will be given to those that have gpu at their disposal. Details will be provided in chat.

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