Metadata-Version: 2.1
Name: tensorflow-history-plot
Version: 0.1.1
Summary: A tool for visualize Tensorflow history result.
Home-page: https://github.com/nofacer/TensorflowHistoryPlot
Author: 九日木彡
Author-email: nofacer@outlook.com
License: MIT
Description: 
        # TensorflowHistoryPlot
        
        A tool for visualize Tensorflow history result.
        
        ## Install
        
        pip install tensorflow-history-plot
        
        ## Use
        
        ```python
        num_classes = 5
        
        model = Sequential([
            layers.Conv2D(16, 3, padding='same', activation='relu'),
            layers.MaxPooling2D(),
            layers.Conv2D(32, 3, padding='same', activation='relu'),
            layers.MaxPooling2D(),
            layers.Conv2D(64, 3, padding='same', activation='relu'),
            layers.MaxPooling2D(),
            layers.Flatten(),
            layers.Dense(128, activation='relu'),
            layers.Dense(num_classes)
        ])
        
        model.compile(optimizer='adam',
                      loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),
                      metrics=['accuracy'])
        
        epochs = 10
        history = model.fit(
            train_ds,
            validation_data=val_ds,
            epochs=epochs
        )
        
        from 
        ```
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.6.0
Description-Content-Type: text/markdown
