ptmodels 0.0.2

Image classification using Pre-trained Models

ptmodels

ptmodels uses pre-trained models to evaluate image datasets and helps to understand which model works better.Electron.

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Installation •

How To Use •

Classification •

Credits •

Related •

License

Installation

• Install ptmodels by simply use the snippet into the terminal

pip install ptmodels

How To Use

To clone and run this application, use git clone on your computer. From your command line:

# Clone this repository

$ git clone https://github.com/rafsunsheikh/ptmodels



# Go into the repository

$ cd ptmodels



# Install dependencies

$ npm install



# Run the app

$ npm start

Note

If you're using Linux Bash for Windows, see this guide or use node from the command prompt.

Classification

from ptmodels.Classifier import PreTrainedModels

from tensorflow.keras.datasets import cifar10

(x_train, y_train), (x_test, y_test) = cifar10.load_data()



model = PreTrainedModels(NUM_CLASSES=10, BATCH_SIZE=32, EPOCHS=2, LEARNING_RATE=0.001, MOMENTUM=0.9)

df = model.fit(x_train, y_train, x_test, y_test)

print(df)

Credits

This software uses the following open source packages:

• Tensorflow

• Keras

• Scikit-learn

• Numpy

• Pandas

• Emojis are taken from here

• highlight.js

Related

LazyPredict - Classification using basic models

Support

Or

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License

MIT

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