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---
model-index:
- name: Agentic Unified Mind UANN
results:
- task:
type: text-classification
dataset:
name: imdb
type: huggingface
split: train[:10%]
- task:
type: image-classification
dataset:
name: cifar10
type: huggingface
split: train[:10%]
- task:
type: structured-data
dataset:
name: titanic
type: huggingface
split: train
model_description: |
The Agentic Unified Mind UANN integrates text, image, and structured data processing using advanced neural network architectures and reinforcement learning. This multi-modal AI model combines BERT for text, ResNet50 for images, and dense neural networks for structured data.
model_type: multi-modal
languages:
- en
library_name: tensorflow
tags:
- multi-modal
- reinforcement-learning
- text-classification
- image-classification
- structured-data
license: apache-2.0
datasets:
- imdb
- cifar10
- titanic
metrics:
- accuracy
- loss
---
# Agentic Unified Mind UANN
## Model Description
The Agentic Unified Mind UANN integrates:
- Text processing using BERT.
- Image processing using ResNet50.
- Structured data processing with dense neural networks.
- Reinforcement learning for autonomous decision-making.
## Features
- **Multi-modal Inputs:** Handles text, images, and structured data.
- **Advanced Neural Network Architectures:** Uses BERT for text, ResNet50 for images, and dense layers for structured data.
- **Unified Cognitive Framework:** Combines information from multiple modalities for better decision-making.
- **Reinforcement Learning:** Enhances the model's ability to learn and adapt from interactions.
## Setup
### Installation
Install the required dependencies:
```bash
pip install -r requirements.txt |