Neuralงาน

I need someone to develop a trained CNN for plastic waste detection. It's to be able to recognize in the 3d space, both outdoor and indoor, plastic waste ( especially: plastic bottles, cans, cigars). The neural network takes as input a point cloud from a stereocamera ( we use Stereolabs Zed2 camera) and has to create a 3D bounding box around the object and provides its position in the space. The neural network should run on the Nvidia Jetson Nano.

I require someone who has experience using neural-networks and genetic algorithms preferably with experience finding optimal prices in the financial markets to build me an algorithm which discovers the optimal price in an inefficient market

Use Weighted Cohen's kappa as metric for fitting neural network and not the default accuracy.

Use Weighted Cohen's kappa as metric for fitting neural network and not the default accuracy.

Hello Shivam, i need a new model on Changepoint Detection/Time Series Segmentation using Neural Network. Can you help me with it? If yes then please ping me.

Hello Asif, I need a new model on Neural Network for Time Series Segmantation(Changepoints detection in tha time series). Can you help me?

Needs to be done in a week. Max 10 days Make some modifications to the existing LSTM algorithm and improve on the accuracy of the Forex exchange prediction can pick a currency of your choice. I have attached lstm algo and a journal for your reference. link is provided below: Do DM me for if you need more information on this project Skills Required Python Data Processing Django Machine Learning (ML) Deep Learning

I have a problem I would like to save using Pytorch. Working on convolutional neural networks.

...technology, environmental data. To collect Weekly data from OECD Stat, however in saying this some of the data may at best be summed up monthly quarterly or yearly. Irregardless the data has to be 1561 Weeks 30years of data from January 1st 1990 to 2020 January 1st. The website to collect data is here: This has to be as accurate as possible for future artificial intelligence neural network modeling. If weekly data can be extracted thats the top of the range on what i want, months good, quarterly okay, yearly data is less desirable. 31 columns of data so could be time intensive depending on your capability. The quickest extraction i can see is if it was weekly data. The other ways i can see is manually drag and drop but your not limited to this you may use any extraction meth...

I want a project for face recognition using gabor filters .Please see the attached file for more details.

We use Gtranslate for our website and need the German translation fixed. Gtranslate uses Google neural translation so it is pretty good, but words/phrases need to be changed or fixed to make it sound normal. The updates can be done live directly in the website with the built-in editor. When a change is made, it should fix that phrase site-wide to cut down on duplicate changes. We have about 20 pages and 200 products on the website. Many of the products have duplicate descriptive text.

We have end to end enterprise document digitization solution implemented purely on AI(deep neural networks). We need a sales person who can sell this solution to potential clients.

I need an expert in time series forecasting (Python) I will provide you the time series and you have to prepare the dataset that let you forecast to the future in an specific window of time. You have to create several ML models (obligatory XGboost and other 2 at your election) and a convolutional neural network model. You have to do train and test split and check how good is the model applying r2, mse and, rmse. And the most important, you have to do a forecast beyond the train and test set in a time window(I provide details when I contract you)using 2 methods: recursive multi-step forecast and Direct Multi-Step Forecasting

I need an expert in time series forecasting (Python) I will provide you the time series and you have to prepare the dataset that let you forecast to the future in an specific window of time. You have to create several ML models (obligatory XGboost and other 2 at your election) and a convolutional neural network model. You have to do train and test split and check how good is the model applying r2, mse and, rmse. And the most important, you have to do a forecast beyond the train and test set in a time window(I provide details when I contract you)using 2 methods: recursive multi-step forecast and Direct Multi-Step Forecasting

I have a dataset and simulating model in v-rep, I need slow-fast spikings, limit cycle, and bezier curve. you can use neural networks to train the data.

It is regression task *** regression from scikit learn works fine , I want to train NN to get better results *** python code to tune deep NN for tabular data - not NLP , not Images what to do with small number values for categorical features to tune deep neural network **** MAIN DIFFICULTY IS SMALL NUMBER OF OBSERVATIONS FOR EACH UNIQUE VALUE *** do you know how to train NN with the low observation numbers? data 1 million rows for example 20 features each feature has unique 570 categorical values pls provide prove you can do it , I see many people placed bid , but vast majority even do not understand what is it about .. target is continues , mean is 800 data 1 million rows for example 20 categorical features each feature has unique 570 categorical values then in ...

implementar uma rede neural com o número adequado de neurônios que seja capaz de classificar corretamente os dados utilizando o código que gera dados de duas classes. 1- Este código assim como a descrição desta atividade consta no arquivo anexado. 2- Foi utilizado o colab para o desenvolvimento desta atividade. 3-:Preciso que seja feita em python.

Hola Oscar que tal, soy Alejandro. Soy colombiano, pero actualmente estoy en Alemania. Estoy buscando alguien que sepa programar en phyton (anaconda) para redactar un código. Necesito correr dos o tres modelos de prediccion (K nearest neighors, random forest y/o neural network), usando una base de datos de partidos de futbol. Esto es para la universidad. Tengo que presentar el proyecto final para el 5 de marzo. Dejame saber si te interesa y si dispones del tiempo para discutir detalles. Gracias

...for SAT incomplete, randomised algorithm for SAT ----------------------------------------- Machine Learning with Clustering:, unsupervised and reinforcement learning with bad initial cluster centres and pitfalls of supervised learning ----- Machine Learning with Neural Networks and Classification with Linear Models 2.Neural Networks and Deep Learning 3. Multilayer Neural Neural Networks...

Hello I need expert who can make a bot that can learn independently via genetic algorithms and neural network that can trade on the XTB api. Language is Python Please place "Trade Bot" on your header of place. Thanks Happy bidding.

Critical State Consulting empowers employees to behave like owners: We work with company owners and the leadership team to install an organizational structure, tools for coordination, and emotional tools ...motivation and engagement, all of which enable people to develop a deep sense of ownership in their organization. This unique “peer accountability” system, based on behavioral science, balances between employee autonomy and accountability, to build engaged, self-organizing, teams. Our name, Critical State, comes from the fact that adaptive systems in the natural world (from flocks of birds, to neural networks, to magnetic materials) are at their most robust, resilient and generative when balanced in a “critical state” between order/alignment/cooperation, ...

...simulate Backpropagation algorithm to solve the following non-linear separable problem. You can use your favorite computer language. Do not use Machine learning libraries for this question. The cube is given. Eight corners of this cube are classified into two groups. The four corners A, E, H, and D belong to one group, and the four corners B, C, G, and F belong to the other group. Train your 3-layer neural network to classify this problem. You will need 3 input units in the input layer. One output unit is enough to solve this problem, but if you want to have more than one output unit for your exercise, that is fine. You can have any number of hidden units. When your actual output of output unit is larger than 0.9, you can accept this output as 1. When your actual output of output...

We need to integrate an Intel Realsense capture and a YoloV4 neural network in a Labview .vi. Realsense: YoloV4: For the Intel Realsense Camera there is a Labview Wrapper: This wrapper allows to capure a image or a video of the diferent cameras. We need that YoloV4 detect an object. And show us the coordinate box.

Looking for deep learning experts with Nvidia and neural network background

Elman Neural Network trained by PSO for time series forecasting need to implement in matlab without any toolbox.

Associative Memory Implement an associative memory neural network.

Neural network and resistivity inversion

Develop Convolutional neural network for automated age estimation from dental images and writing paper to publish in high impact journal

Q/A List of questions: 1. What is the basic setting of a supervised ML problem (dataset, algorithm, loss function, expected risk). What is regression and what is classification problems? 2. What is underfitting? Overfitting?...train linear regression? What is L1 and L2 regularization? 4. How can one use a linear model (e.g. logistic regression) to successfully distinguish between two classes located at two concentric circles of 2-D feature space? 5. Describe the K-fold cross-validation method. What is it used for? 6. How do gradient descent and stochastic gradient descent optimization methods work? 7. What is a neural net? How are neural networks trained? 8. What is a decision tree? How does one train decision trees? 9. What is bagging and how it works? 10. What is boosting ...

Job Description: • >4 years of experience in applying advanced algorithms on complex and large data sets • Highly proficient in applying Machine Learning and Deep Learning techniques in Python specifically - Decision Trees, Neural Networks, Ensemble Models, Feature Engineering • Exposure to Azure Databricks, PySpark and Spark SQL is mandatory • Proven ability to dig-in and understand the data and to leverage creative thinking and problem solving skills in solving open ended business problems • Fair understanding of data infrastructure, data warehouse, or data engineering • Coordinate with business planners and decision makers to translate business questions into verifiable data models and hypothesis • Work with analysts to operationa...

Hello everyone. I will need some expert in Pattern Recognition with experience in Multilayered Neural Networks and c-means to implement 3 simple tasks in Matlab or Python and report them in FLUENT english. Deadline 16/2 Budget: $50 USD Best

...app and 4. Objective – C or Swift for iOS app. APIs • Payment Gateway Integration • Push Notification and Smart Management • Navigation & Geo Location Algorithms Our main objective is to solve problem of rerouting and accuracy of vehicle/passenger drop off timely. If we go for deep learning Algorithms; • Use Deep Q- Network for decision making if add ride sharing and Non-Deep Feed Forward Neural Network. • In other case use Naive Bayes for identifying Classification Problem and K fold for validation. • Note that spatial co-location pattern mining has low accuracy for identifying unknown instance. Implementation Benefits • Route Optimization • Time and fare Calculation • Reducing Demand and Supply gap • Understa...

Hello everyone. I will need some expert in Pattern Recognition with experience in Multilayered Neural Networks and c-means to implement 3 simple tasks in Matlab or Python and report them in FLUENT english. Deadline 16/2 Budget: $50 USD Best

...microservice architectures. - experience in creating multi-agent systems. - experience with Git; - experience working with SQL and No SQL databases (in particular with graph databases); - understanding and applying complex design patterns (for example, Blackboard); - experience with Machine Learning (techniques and algorithms such as cnn, Naive Bayes, SVM, Decision tree, clustering, artificial neural networks, GAN, genetic algorithms, etc.); - Deep Learning; - Reinforcement learning; - e Natural Language Processing and in particular Information Extraction; - experience with PyTorch, Pandas, Keras, SciPy, SciKit, Tensorflow, NumPy, MatLab, etc.; - experience in data architecture, data models, data warehouse/data lakes. semantic web. If you are looking for an opportunity to gain ...

I need a programmer who working with me in building a medical segmentation system for CT images in Matlab I already picked up the dataset, also I have the neural network that I will use. I need to code the next: upload and read the CT image dataset (nii files) , preprocessing the data, segment the interesting area using NN analyze the results I prefer a freelancer with an academic background

We want to run a neural network pre-trained model with flask but we don't know how to do this we want to get the accuracy of the model.

I want to build a Multiscale All convolutional neural network(MA-CNN) and do some modifications in this model to make a new model. I want this project in python. I have preprocessed mammogram dataset. Next step is to do segmentation and then develop a model.

Neural network training on excel file and combine it with another neural network .

Description: * Implement a system that converts images taken using a phone camera into a chess board position in Forsyth-Edwards Notation (FEN). ** About FEN notation: Resources: * Plenty of existing research using different techniques, check out “chess board recognition” on Google. * (Primary source) * * * * * *

I have a project on neural network. Please bid if you are familiar with machine learning. The project is very tight so bid only if you are free right now to work on it.

Neural Network Training expert needed

Hi Esfand J, I noticed your profile and I think I might have an interesting (small) project for you. Are you familiar with Graph Neural Networks? (Pytorch Geometric or DGL as you choose)

I need help from a programmer who is professional in: - Deep Learning - Artificial Intelligence - Neural Networks - Machine Learning

I need to add more attributes to my reservoir dataset (grid based) and then creat a neural network models to predict some of the features that already generated by existing reservoir numerical simulator.

I need an implementation as in this paper for feature extraction: Ayurvedic Herb Detection using Image Processing and classification as in this paper A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network and these are the dataset Mendeley Data - Medicinal Leaf Dataset

The project has two parts. First part is with Neural Networks using Delta Learning Algorithm and the second part is using Deep Discriminant Neural Networks, I will share details when I am contacted. The project is small and simple and can be completed in 3-5 days.

I will provide you with XRAY data : normal and COVID situation of XRAY pictures in order to train the network (train data). Also, i will provide you data for validation & test. The program should finally test his own fuctionalitty with a a final plot(S) shows the accuracy of the results. I also need: a report explaining how the work is made, and also a report of the results. (Maximum 6 pages) The program should be as simple as it can and in low budget, the data will be available as attached. Deadline is 1.5 days.

Ubisoft has a neural network system for creating animations with a minimal number of keyframes, using AI to fill in the frames between two poses. I need someone to prepare the system into something that can be used to create new animations using new videos and/or animations to train the AI and the keyframes that need to be expanded out using the AI. In order to be accepted for the job I need to see an example of a new two keyframe animation that was filled in by the AI. You can use any two keyframes or request a character posed in two positions. **********************Only apply once you have this complete.************************ In order for the job to be marked complete and paid a new character of my choosing has to be able to successfully go through the process. Example of t...

I need an implementation as in this paper for feature extraction: Ayurvedic Herb Detection using Image Processing and classification as in this paper A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network and these are the dataset Mendeley Data - Medicinal Leaf Dataset

I need an implementation as in this paper for feature extraction: Ayurvedic Herb Detection using Image Processing and classification as in this paper A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network and these are the dataset Mendeley Data - Medicinal Leaf Dataset