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Última actualización : Nov 30, 2017
NO EN LA EDICIÓN ACTUAL
Este blip no está en la edición actual del Radar. Si ha aparecido en una de las últimas ediciones, es probable que siga siendo relevante. Si es más antiguo, es posible que ya no sea relevante y que nuestra valoración sea diferente hoy en día. Desgraciadamente, no tenemos el ancho de banda necesario para revisar continuamente los anuncios de ediciones anteriores del Radar. Entender más
Nov 2017
Evaluar ? Vale la pena explorarlo con el objetivo de entender cómo afectará a tu empresa.

Caffe is an open source library for deep learning created by the Berkeley Vision and Learning Center. It mostly focusses on convolutional networks for computer vision applications. Caffe is a solid and popular choice for computer vision-related tasks and you can download many successful models made by Caffe users from the Caffe Model Zoo for out-of-the-box use. Like Keras, Caffe is a Python-based API. In Keras, however, models and components are objects created directly in Python code, whereas Caffe models are described by Protobuf configuration files. Either approach has its pros and cons, and converting between the two is also possible.

Mar 2017
Evaluar ? Vale la pena explorarlo con el objetivo de entender cómo afectará a tu empresa.

Caffe is an open source library for deep learning created by the Berkeley Vision and Learning Center. It mostly focusses on convolutional networks for computer vision applications. Caffe is a solid and popular choice for computer vision-related tasks and you can download many successful models made by Caffe users from the Caffe Model Zoo for out-of-the-box use. Like Keras, Caffe is a Python-based API. In Keras, however, models and components are objects created directly in Python code, whereas Caffe models are described by Protobuf configuration files. Either approach has its pros and cons, and converting between the two is also possible.

Publicado : Mar 29, 2017

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