Neural Networks Jobs
Neural Networks is the use of artificial intelligence (AI) to process data or images in a similar manner to how humans do. A Neural Network Engineer is someone who can help clients create AI-powered chatbots, predictive analytics, natural language processing and image recognition. With the use of modern neural networks and deep learning techniques, they can help in transforming businesses and powering greater insights to enable better decision making.
Here's some projects that our expert Neural Network Engineer made real:
- Creating automated systems that can process vocal commands for interactive customer service purposes.
- Understanding the sentiment behind free-form written text, such as reviews or even emails, for better customer insights.
- Enhancing existing models with new technologies like GANs (Generative Adversarial Networks) for advanced computer vision applications.
- Challenging principles from natural languages, such as machine translation of speech from one language into another.
- Helping differentiate between various kinds of images and other visual information to develop automated classification systems.
At Freelancer.com, our range of professional Neural Network Engineers have the skills and experience to help you find the right solutions for your businesses needs. With our platform's comprehensive suite of resources and skillsets, we allow you to gain access to talent quickly, helping you cut down precious project time. From projects as detailed as predicting house prices using satellite images to services as broad as building basic graph neural networks, our engineers could be just what you need to start unlocking your business’s potential today!
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Your assignment in this project will be to design and train a neural network to perform the reconstruction of subsampled images. We will supply you with a codebase that handles data loading. Each data sample you receive from our dataloaders will be a batch of MR images in frequency domain ˜x. You will implement a model which takes these image batches, subsamples them according to a random binary maskM(with code we give you) to receive the subsampled version M(˜x) = ˜xsubsampled, converts the data to xsubsampled (in image domain) and performs reconstruction using a model mθ to receive mθ(xsubsampled) = xreconst. The fully-acquired target image x is also provided by the dataloaders. A naive, vanilla reconstruction model would be provided as reference. Your goal ...
My project requires an expert in machine learning, particularly with a focus on using Python for neural networks. Ideal Skills and Experience: - Proven experience in machine learning projects - Expertise in Python programming - Proficiency in neural network programming - Strong understanding of deep learning Your understanding of machine learning principles, advanced Python programming, and neural network frameworks will be pivotal to the success of this project. Please detail your relevant experience and provide examples of similar projects.
My project requires an expert in machine learning, particularly with a focus on using Python for neural networks. Ideal Skills and Experience: - Proven experience in machine learning projects - Expertise in Python programming - Proficiency in neural network programming - Strong understanding of deep learning Your understanding of machine learning principles, advanced Python programming, and neural network frameworks will be pivotal to the success of this project. Please detail your relevant experience and provide examples of similar projects.
Hola, estoy haciendo un sistema de detección de robos a través de cámaras de vigilancia con redes neuronales convolucionales. Estoy en busca de una persona que maneje este tipo de temas para poder trabajar en este proyecto
Έχουμε ένα task based FMRI auditory task. Θέλουμε preprocessing των δεδομένων με fmriprep και group analysis (GLM) ώστε να δούμε τις θετικές και αρνητικές ενεργοποιήσεις για τα δυο auditory tasks. Επίσης θα πρέπει να γίνει ICA ώστε ν...
Έχουμε ένα task based FMRI auditory task. Θέλουμε preprocessing των δεδομένων με fmriprep και group analysis (GLM) ώστε να δούμε τις θετικές και αρνητικές ενεργοποιήσεις για τα δυο auditory tasks. Επίσης θα πρέπει να γίνει ICA ώστε ν...