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All Traditional Classification Models

Project description

Keras28 Models

This is a Python package for easy build deep learning applications by using transfer learning pre trainined 28 models in easy few line code. to avoid wasting time scripting in your deep learning .You can read about keras models in complex code scriptining keras document for Models API .that is easy code for training your custom dataset in faster code not complex scripting code. more than 25% of time spent on deep learning projects is collecting and cleaning data and building convolution neural network (CNN)..but this package is very easy for images classifiction and recognition application and save final weights models .and compare all pre trainined models results for choice the best accurecy one convert results to DataFrame for easy viewing...(CSV format file spreadsheet) contains model name and number model parameters and validation accurcy ..and final code it is plot the num model params vs validation_accuracy for choosing benchmark

Installation

pip install keras28model==0.1.0
or in colab google cloud
!pip install keras28model==0.1.0

Tutorial

Colab Google Drive

u can see tutorial in colab google drive

Project details


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Files for Keras28Models, version 0.1.0
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