We are Neosentials

The future of machine learning education and development

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About Us


Who We Are

We develop algorithms used to train multi-layer artificial neural networks. We also develop educational modules that teach students how to connect multiple single neurons together to form multi-layer feed-forward neural networks: Multi-Layer Perceptron (MLP) models. We implement the MLP models using the Python Programming Language.

What We Do

We develop algorithms used to train multi-layer artificial neural networks. We also develop educational modules that teach students how to connect multiple single neurons together to form multi-layer feed-forward neural networks: Multi-Layer Perceptron (MLP) models. We implement the MLP models using the Python Programming Language.

Why Choose Us

Both research and pedagogy use two production-ready Python frameworks: Anaconda's Data Science Platform and Google's TensorFlow. We also explore and use other modules and packages such as Amazon SageMaker as well as other architectures such as convolutional and recurrent neural networks and compare their performance to each other so as to optimize our algorithms and data analysis

Our Services


Serverless Web Architecture

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Machine Learning

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Data Visualization

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Data Science

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Blockchain

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Content Development

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Mobile App Development

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Image Classification

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Our Portfolio


Meet the Team


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John Doe

Founder

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Mike Doe

Web Designer

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Jane Doe

Creative Director

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Larry Show

Project Manager

Contact Us


Contact info

4321 California St,
San Francisco, CA 12345

info@company.com

+1 123 456 1234

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