Lasagne (software)

Lasagne is a lightweight library built on top of Theano. It trains and builds neural networks. It uses Python interface.

It supports feed-forward networks such as convolutional neural networks (CNNs), recurrent neural networks including Long short-term memory (LSTM) and any combination thereof . It allows architectures of multiple inputs and multiple outputs, including auxiliary classifiers . It ca be optimized using Nesterov momentum, RMSprop and ADAM . It is definable and does not need to derive gradients due to Theano's symbolic differentiation . It provides transparent support of CPUs and GPUs due to Theano's expression compiler.

It supports feed-forward networks such as convolutional neural networks (CNNs), recurrent neural networks including Long short-term memory (LSTM) and any combination thereof . It allows architectures of multiple inputs and multiple outputs, including auxiliary classifiers . It ca be optimized using Nesterov momentum, RMSpropRMSprop and ADAM . It is definable and does not need to derive gradients due to Theano's symbolic differentiation . It provides transparent support of CPUs and GPUs due to Theano's expression compiler.

Lasagne is a lightweight library built on top of Theano. It trains and builds neural networks. It uses PythonPython interface.

It is utilized in defining, evaluating and optimizing mathematical expressions. The software provides easy to use layers to achieve high-level application programming interfaceapplication programming interface (API). Lasagne can do everything Theano can and with added benefits of user-friendly layering functions.

Lasagne is a lightweight library built on top of Theano. It trains and builds neural networks. It uses Python interface.

It supports feed-forward networks such as convolutional neural networks (CNNs), recurrent neural networks including Long short-term memory (LSTM) and any combination thereof . It allows architectures of multiple inputs and multiple outputs, including auxiliary classifiers . It ca be optimized using Nesterov momentum, RMSprop and ADAM . It is definable and does not need to derive gradients due to Theano's symbolic differentiation . It provides transparent support of CPUs and GPUs due to Theano's expression compiler.

LasagneIt is autilized lightweight library built on top of Theano. Uses Python interface. Used forin defining, evaluating and optimizing mathematical expressions. ProvidesThe software provides easy to use layers to achieve high-level application programming interface (APIAPI). Lasagne can do everything Theano can and with added benefits of user-friendly layering functions.

Lasagne is a lightweight library built on top of TheanoTheano. Uses Python interface. Used for defining, evaluating and optimizing mathematical expressions. Provides easy to use layers to achieve high-level API. Lasagne can do everything Theano can and with added benefits of user-friendly layering functions.

LASAGNE is a pattern-based framework for parallel and distributed computing

Multi-threaded distributing computing platform in C++ . It adopts service-oriented principles and behavior supported via metaprogramming techniques . Extension mechanisms supported on a loadable, configurable infrastructure . It provides hardware and operating system abstraction for native code execution . It uses the concept of a container (gestalt) for hosting components to applications .

Core inclusions in LASAGNE are only permitted if they are based on openly published material . It uses open standard middleware technology and doesn't lock components into using them.

It is domain agnostic . Core of LASAGNE does not mandate a data model representation.

Lasagne is a lightweight library built on top of Theano. Uses Python interface. Used for defining, evaluating and optimizing mathematical expressions. Provides easy to use layers to achieve high-level API. Lasagne can do everything Theano can and with added benefits of user-friendly layering functions.

LASAGNE is a pattern-based framework for parallel and distributed computing

Multi-threaded distributing computing platform in C++ . It adopts service-oriented principles and behavior supported via metaprogramming techniques . Extension mechanisms supported on a loadable, configurable infrastructure . It provides hardware and operating system abstraction for native code execution . It uses the concept of a container (gestalt) for hosting components to applications .

Core inclusions in LASAGNE are only permitted if they are based on openly published material . It uses open standard middleware technology and doesn't lock components into using them.

It is domain agnostic . Core of LASAGNE does not mandate a data model representation.