Metadata-Version: 1.0
Name: Deep-Models
Version: 0.0.2
Summary: Keras deep learning model implementations
Home-page: http://github.com/tayden/DeepModels
Author: Taylor Denouden
Author-email: taylordenouden@gmail.com
License: MIT
Description-Content-Type: UNKNOWN
Description: # DeepModels
        Implementations of various deep learning models using Keras.
        
        ## Requirements
        An existing installation of either Tensorflow or Theano.
        
        ## Installation
        ```
        pip install deep-models
        ```
        
        ## Usage
        
        The models are implemented using Keras and instantiation returns a Keras Model object unless otherwise noted.
        
        ### Wide Residual Network
        ```python3
        from deep_models import wide_residual_network as wrn
        
        # Load your data
        trainX = ...
        trainY = ...
        img_shape = (32, 32, 3)
        
        # Create the model
        # k is the width, 6 * n + 4 is the depth
        model = wrn.build_model(img_shape, classes=10, n=4, k=10, dropout=0.3)
        
        # Train the model
        model.compile(loss="categorical_crossentropy", optimizer="adam", metrics=["acc"])
        model.fit(
            trainX, trainY,
            batch_size=128,
            epochs=100,
            validation_split=0.2)
        ```
        
        ## Examples
        Some working examples are available in the notebooks directory.
        
        ## License
        See LICENSE file
        
Platform: UNKNOWN
