Enable javascript in your browser for better experience. Need to know to enable it? Go here.
Last updated : Nov 30, 2017
Not on the current edition
This blip is not on the current edition of the Radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar Understand more
Nov 2017
评估 ? 在了解它将对你的企业产生什么影响的前提下值得探索

Keras is a high-level interface in Python for building neural networks. Created by a Google engineer, Keras is open source and runs on top of either TensorFlow or Theano. It provides an amazingly simple interface for creating powerful deep-learning algorithms to train on CPUs or GPUs. Keras is well designed with modularity, simplicity, and extensibility in mind. Unlike a library such as Caffe, Keras supports more general network architectures such as recurrent nets, making it overall more useful for text analysis, NLP and general machine learning. If computer vision, or any other specialized branch of machine learning, is your primary concern, Caffe may be a more appropriate choice. However, if you’re looking to learn a simple yet powerful framework, Keras should be your first choice.

Mar 2017
评估 ? 在了解它将对你的企业产生什么影响的前提下值得探索

Keras is a high-level interface in Python for building neural networks. Created by a Google engineer, Keras is open source and runs on top of either TensorFlow or Theano. It provides an amazingly simple interface for creating powerful deep-learning algorithms to train on CPUs or GPUs. Keras is well designed with modularity, simplicity, and extensibility in mind. Unlike a library such as Caffe, Keras supports more general network architectures such as recurrent nets, making it overall more useful for text analysis, NLP and general machine learning. If computer vision, or any other specialized branch of machine learning, is your primary concern, Caffe may be a more appropriate choice. However, if you're looking to learn a simple yet powerful framework, Keras should be your first choice.

已发布 : Mar 29, 2017
Radar

下载第25期技术雷达

English | Español | Português | 中文

Radar

获取最新技术洞见

 

立即订阅

查看存档并阅读往期内容