Metadata-Version: 2.1
Name: nn
Version: 0.0.9
Summary: A neural network library built on top of TensorFlow for quickly building deep learning models.
Home-page: https://github.com/AppliedDeepLearning/nn
Author: Ravindra Marella
Author-email: mv.ravindra007@gmail.com
License: MIT
Project-URL: Documentation, https://nn.applieddeeplearning.com/
Project-URL: Source Code, https://github.com/AppliedDeepLearning/nn
Project-URL: Bug Tracker, https://github.com/AppliedDeepLearning/nn/issues
Description: A neural network library built on top of TensorFlow for quickly building deep learning models.
        
        
        ## Installation
        
        ```sh
        pip install nn
        ```
        
        
        ## Example
        
        ```py
        import nn
        
        # Create the model
        @nn.model
        def model(inputs):
            # Define the network architecture (layers, number of units, activations)
            hidden = nn.Dense(units=64, activation='relu')(inputs)
            outputs = nn.Dense(units=10)(hidden)
        
            # Configure the learning process (loss, optimizer, evaluation metrics)
            return dict(outputs=outputs,
                        loss='softmax_cross_entropy',
                        optimizer=('GradientDescent', 0.001),
                        metrics=['accuracy'])
        
        # Train the model using training data:
        model.train(x_train, y_train, epochs=30, batch_size=128)
        
        # Evaluate the model performance on test or validation data:
        loss_and_metrics = model.evaluate(x_test, y_test)
        
        # Use the model to make predictions for new data:
        predictions = model.predict(x)
        ```
        
        
        ## Documentation
        
        See [documentation].
        
        
        ## License
        
        [MIT][license]
        
        
        [license]: /LICENSE
        [documentation]: https://nn.applieddeeplearning.com/
        
Keywords: nn tensorflow neural-network deep-learning machine-learning
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
