说明： Convolutional Neural Networks define an exceptionally powerful class of models, but are still limited by the lack of ability to be spatially invariant to the input data in a computationally and parameter efficient manner. In this work we introduce a <weixin_39566101> 在 上传 | 大小：7340032
说明： We present a model that generates natural language descr iptions of images and their regions. Our approach leverages datasets of images and their sentence descr iptions to learn about the inter-modal correspondences between language and visual data. <weixin_39566101> 在 上传 | 大小：5242880
说明： Network Morphism 人工智能论文2018 We present in this paper a systematic study on how to morph a well-trained neural network to a new one so that its network function can be completely preserved. We define this as network morphism in this research. After m <wolongju> 在 上传 | 大小：1048576
