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Model Details
Model Description
- Developed by: Haaris
- Model type: Neural Network Model for Image
- License: MIT
Model Sources [optional]
- Demo [optional]: [More Information Needed]
Uses
This collection of model demonstrate different Neural Network model
Direct Use
Can be directly use with Pytorch just load the model pass image with 28*28 pixel with one color channel and it will able to give classification between two.
How to Get Started with the Model
Use the code below to get started with the model.
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Training Details
Training Data
MNIST handwritten digits are being used in this application as dataset where 60,000 images are used in training set and 10,000 images were used in testing set.
Training Procedure
Preprocessing [optional]
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Training Hyperparameters
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Speeds, Sizes, Times [optional]
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Evaluation
Testing Data, Factors & Metrics
Testing Data
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Factors
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Metrics
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Results
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Summary
Model Examination [optional]
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Environmental Impact
Carbon emissions can be estimated using the
Machine Learning Impact calculator presented in
Lacoste et al. (2019).
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- Hours used: [More Information Needed]
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Technical Specifications [optional]
Model Architecture and Objective
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Compute Infrastructure
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Hardware
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Software
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Citation [optional]
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APA:
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Glossary [optional]
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