Collection of a variety of Deep Learning (DL ... Check out the module here and an example notebook here. We show a nonlinear function approximation task performed by linear model (polynomial degree) ...

1-D Convolution for text analysis CNN for setnence classification (Kim 2014) Dynamic CNN for sentence modeling (Kalchbrenner et al 2014) CNN for text categorization (Johnson and Zhang 2014) ...

Keras is a high-level neural networks API written in Python. It provides a simple and easy-to-use interface for building and training deep learning ... For example, some libraries may be better ...

PDNN is a Python deep learning toolkit ... one of the least restrictive learning can be conducted within a single framework. PDNN is an easy-to-use toolkit developed with the needs of non-DL ...

New modules are simple to add, as new classes and functions. Models are defined in Python code ... Keras supplies seven of the common deep learning sample datasets via the keras.datasets class.

For example ... in Python is powerful through the facilities of TensorFlow and Scikit-learn. While TensorFlow has broader applications in advanced deep learning-based complex models with large ...

It provides a simple and ... and “Python Machine Learning” by Sebastian Raschka. These books cover the fundamentals of deep learning and provide practical examples to help readers get started.