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
u can see tutorial in colab google drive
Metadata
Release files for Keras28Models 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| Keras28Models-0.1.0.tar.gz | 3.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Keras28Models-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.4 kB
Release files / Keras28Models-0.1.0.tar.gz
| Download URL | Keras28Models-0.1.0.tar.gz |
|---|---|
| Size | 3.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.7.0
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Release files / Keras28Models-0.1.0-py3-none-any.whl
| Download URL | Keras28Models-0.1.0-py3-none-any.whl |
|---|---|
| Size | 4.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.7.0
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