Neural Networks Jobs

Reconocimiento de un insecto en una caja donde existen otros insectos. Tengo unas 100 fotografías de dataset By using AI (TensorFlow, RCNN or YOLO) identify an insect from others quickly. Those will be inside a recipient.

I'm seeking a skilled machine learning expert who can train a Convolutional Neural Network (CNN) for object detection, specifically tennis balls. I have my own dataset. This dataset is poor so I will need a skilled expert. I need detections on at least 50% of the frames. Key Responsibilities: - Train the CNN model on object (tennis ball) detection - Fine-tune the model for higher accuracy - Provide the trained CNN Model's code and implementation details

As someone skilled in machine learning and an expert in PyTorch, I'm seeking assistance with my next project. I need a professional to create a Graph Neural Network (GNN) predictive model leveraging my preprocessed data. Ideal Skills and Experience: - Advanced knowledge in Machine Learning, specifically predictive modeling - Proficiency in creating Neural Network models, especially GNN - Extensive experience in PyTorch Tasks: - Constructing a GNN predictive model - Evaluating and refining the model as required based on results The ultimate goal is for this model to provide accurate and useful predictive analytics. Your expertise and input will be invaluable to the project.

I need to train a model with a dataset and need help with it. The objective is to guide me to run the available code by ordering it and training it with a dataset on google colab, also provide a document as a read me file to explain it. The code is of a research paper with the name Sequential Weakly Labeled Multi-Activity Recognition and Location on Wearable Sensors using Recurrent Attention Network. The link for the paper is Also the verified code is at and the ipynb notebook is attached below, the snippets are to be reordered in order to run it as per the research paper and train it with Uni-Mib SHAR dataset which is availabe in NumPy format. The needed documents are attached below

I am seeking a developer to create an algorithm that can make a single prediction based on data from existing datasets. I have looked at the available choices and decided that numbers will be the best form of data to have inputted into my algorithm. The goal of this algorithm is for it to make a single prediction, rather than statistical clustering or a range of predictions. The inputs available to the algorithm will be data from existing datasets. This algorithm needs to be powerful, accurate, and efficient while making reasonable predictions. The ideal developer will be skilled in utilizing machine learning, deep learning with neutral network and artificial intelligence, and other related technologies to help create the best possible algorithm.