Neural trabalhos

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

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

...interest. The portfolio should critically compare the performance of dierent machine learning methods applied 3 large datasets related to the chosen topic of interest. Number of Methods: In total, you should apply and critically evaluate 5 methods of machine learning for this project to facilitate your discussion: -Regression -Classification -Clustering -Dimensionality Reduction -Ensemble Methods -Neural Nets and Deep Learning -Transfer Learning -Reinforcement Learning -Natural Language Processing -Word Embeddings Notions of Performance: The discussion of performance should be orientated around multiple no- tions of performance. It is not sucient to discuss only accuracy or R2 for the methods applied. Other possibilities include, but are not limited to: Cohen's Kappa, ...

Hi, I would like you to work on the air quality data I have collected. I have a set of uncalibrated raw data and a set of ground truth. There are 5 items that require calibration: NO2, CO, O3, PM2.5 and PM10, the raw data also includes RH and T which will be required for a temperature and humidity correction proposed by you. I will need you do the followings, with Python and libraries NumPy, Pandas and Sk-learn: 1. synchronise the data as per the minute, the raw data is at GMT+0 and ground truth are at GMT+8, you need to add 8 hours to the raw data 2. plot the raw data with 7 separated scattered diagrams, for the above variables against time 3. I saw that the ground truth has missing data, will need you to propose a method to deal with it (can be a simple method), please do the same if you...

i need to implement Cognitive biometric graphical authentication of users using python and neural network based on attacking techniques like brute force etc

My team and i are working on a project and i am looking for someone to help us with setting up a neural networks and deep learning. I would require someone to not just do the job but also do a zoom and explain what and how they did You need to have experience with tensor-flow as well as amazon textract and S3

Implement neural network in C++ from scratch. No use of special machine learning Libraries.

Want .NET Source code, OpenCV Human Pose 3D skeleton tracking prog...tracking Joints detection X, Y and Z reading value such as Head joint, Neck joint, Right Shoulder Joint, Left Shoulder Joint, Right Hand Joint, Left Hand Joint ...etc. (Without using depth camera, or Kinect camera ...etc) Prefer programming in Visual Studio C# WPF programming. Want Source code If program has use 3rd party library or assembles, code sample, OpenPose, TensorFlow, Convolutional Neural Network (CNN) ...etc. must Open Source, Free to use, Development platform: Visual Studio 2019 Language: C# Application: WPF, Windows Presentation Foundation Windows 10 App development Required: Submit completed C# WPF source code program, And Need Sign an IP Agreement (Freelancer), Intellectual Property Transfer ...

is an international Conversational AI project. Our team brings together data scientists, engineers and experts in neural networks and machine learning. Our mission is to create technologies that can completely replace human labor with artificial intelligence in the field of telemarketing and customer care. The main advantage of our product is that our clients cannot distinguish between a bot and a human being. Applied technologies are not limited to speech recognition and voice synthesis algorithms. They also allow to develop a dialogue between a subscriber and a bot using natural language. Another key to our success is our strong team that consists of professionals, united to achieve an ambitious goal. Now we are looking for a Regular Expression Specialist (Content Manager) to

is an international Conversational AI project. Our team brings together data scientists, engineers and experts in neural networks and machine learning. Our mission is to create technologies that can completely replace human labor with artificial intelligence in the field of telemarketing and customer care. The main advantage of our product is that our clients cannot distinguish between a bot and a human being. Applied technologies are not limited to speech recognition and voice synthesis algorithms. They also allow to develop a dialogue between a subscriber and a bot using natural language. Another key to our success is our strong team that consists of professionals, united to achieve an ambitious goal. Now we are looking for a Regular Expression Specialist (Content Manager) to

Hello, We are looking for someone who has experience with GNN and RL. Send on some details of your Graph Neural Network experience and or your and RL work so we can make a decision and contact you to discuss in more detail. Ben

Silicon Valley serial entrepreneur with multiple exits launching next company focusing on a new real estate asset class. Looking for multiple engineers/developers that can work on first project as stepping stone to become part of our global team. HQ is London, preferred location is UK but open to others. Key sk...estate asset class. Looking for multiple engineers/developers that can work on first project as stepping stone to become part of our global team. HQ is London, preferred location is UK but open to others. Key skills include: 1. Keen interest in real estate 2. Data science & analytical mindset 3. AI/Machine learning experience 4. Google Cloud, TensorFlow 5. Working with APIs 6. Vision, Neural networks 7. Exceptional communication and ability to think &qu...

Title: Analysis of search and neural network based algorithms for different complexity variations of the game of dots and boxes Goal: To analyze how the efficiency of existing game implementation algorithms changes depending on the complexity of the game based on the case study of the dots and boxes case study. Tasks (with short explanations): 1. Explaining the main concepts of computer implementations of games with full implementation. Besides other concepts you should elaborate on the notion of the complexity of the game depending on the size of the board. You should develop a mathematical model based on the existing theories for evaluating the complexity of the game. 2. Overview of the search based game implementation algorithms Here you have to shortly explain the idea of ...

Hi Es M., I noticed your profile and would like to offer you my project. We can discuss any details over chat. Interested in parallelizing a code I have in C for backpropagation (neural networks) using open MP

support in the design of a time series prediction algorithm. 2 Input, one output. Learning of a Dynamic System to do predictions form unknowing data

Hello, We are looking to have our site translated from English to native French. Currently we have an Shopify app (gtranslate) that is using machine neural language automatically, but we want a native translations so that it talks to our target audience (female in the activewear space) in the right tone. The store has around 3500 words (If not count repeated product description) Are you someone that can translate with context from English to French? Make your proposal start with #Frenchexpert If you don't start with it, your bid will not be considered.

Hello, We are looking to have our site translated from English to native Italian. Currently we have an Shopify app (gtranslate) that is using machine neural language automatically, but we want a native translations so that it talks to our target audience (female in the activewear space) in the right tone. The store has around 3500 words (If not count repeated product description) Are you someone that can translate with context from English to Italian? Make your proposal start with #Italianexpert If you don't start with it, your bid will not be considered.

Hello, We are looking to have our site translated from English to native Dutch. Currently we have an Shopify app (gtranslate) that is using machine neural language automatically, but we want a native translations so that it talks to our target audience (female in the activewear space) in the right tone. The store has around 3500 words (If not count repeated product description) Are you someone that can translate with context from English to Dutch? Make your proposal start with #Dutchexpert If you don't start with it, your bid will not be considered.

Hello, We are looking to have our site translated from English to native German. Currently we have an Shopify app (gtranslate) that is using machine neural language automatically, but we want a native translations so that it talks to our target audience (female in the activewear space) in the right tone. The store has around 3500 words (If not count repeated product description) Are you someone that can translate with context from English to German? Make your proposal start with #Germanexpert If you don't start with it, your bid will not be considered.

Hello, We are looking to have our Ecommerce translated from English to native Spanish. Currently we have an Shopify app (gtranslate) that is using machine neural language automatically, but we want a native translations so that it talks to our target audience (female in the activewear space) in the right tone. The store has around 3500 words (If not count repeated product description) Are you someone that can translate with context from English to perfect Spanish? Make your proposal start with #spanishexpert If you don't start with it, your bid will not be considered. Thank you

I need you to design visualize and build the deep network

I'am working on a project. Topic: neuronal network applied to handwritten digits from MNIST. The detailed project tasks to be solved and the needed material are attached.

I need you to build a project on info contact

...Requirements • Compatibility with Windows operating systems • Compatibility with Microsoft Excel, CSV, and text files • Ability to select inputs and outputs as needed • Accurate price projection for up to 12 future days’ prices • Training results, showing accuracy through correlation and R-squared values • Graphical User Interface so that I can operate the software in Windows • Use of a convolutional neural network or whichever NN works best • Adequately commented Python source code • No working on this project from sundown Friday to sundown Saturday in your time zone Beyond these requirements, you will have the autonomy to do what you think will produce the best finished product. This link leads to a download of similar softwa...

Looking for a machine learning expert with experience in, voice cloning, speech synthesis, text-to-speech, Python. The machine learning expert must be familiar with Tiny Machine Learning (TinyML) and understand how to best implement machine learning (ML) in ultra-low power systems. An understanding of model compression, Quantization and Pruning.

Requiement: -jupyternotebook -Python 3.7 Build a simple Python program(.ipynb) that conduct community detection(clustering) using Graph Neural Network(GNN) with external data set(.gml file). Display the result with networkx graph and animation (the process of the clustering). The result should be like this blog But the program needs to allow input of any external dataset (.gml file) for clustering, not just karate club. Also, the program need to be done in jupyternotebook (.ipynb)

I am looking for a computer vision expert for a project with one of my clients. We need someone with experience extracting people from various images and scaling them into human models. Capability will be integrated into the clients application / API. Must have experience in computer vision and convolutional neural network. Furthermore, must be self sufficient in determining the best approaches to solve the problem. NDA will be required for this project. Prior project and/or portfolio required for this opportunity. Looking for someone for this immediate need and then long-term support.

I am looking for a computer vision expert for a project with one of my clients. We need someone with experience extracting people from various images and scaling them into human models. Capability will be integrated into the clients application / API. Must have experience in computer vision and convolutional neural network. Furthermore, must be self sufficient in determining the best approaches to solve the problem. NDA will be required for this project. Prior project and/or portfolio required for this opportunity. Looking for someone for this immediate need and then long-term support.