Has anyone made or found an implementation yet?
There are already newer versions, Yolov2 and DSSD. See http://github.com/sbrugman/deep-learning-papers In practice Faster R-CNN worked better for me than YOLOv2 as it, in contrast to what is reported in the paper, had a…
Google Brain outperforms LSTMs with Convolutional Networks in speed and accuracy, seeming to confirm LSTMs are not optimal for NLP at least: https://arxiv.org/pdf/1706.03762.pdf
LSTMs are on their retour in my opinion. They are a hack to make memory in recurrent networks more persistent. In practice they overfit too easy. They are being replaced with convolutional networks. Have a look at the…
Has anyone made or found an implementation yet?
There are already newer versions, Yolov2 and DSSD. See http://github.com/sbrugman/deep-learning-papers In practice Faster R-CNN worked better for me than YOLOv2 as it, in contrast to what is reported in the paper, had a…
Google Brain outperforms LSTMs with Convolutional Networks in speed and accuracy, seeming to confirm LSTMs are not optimal for NLP at least: https://arxiv.org/pdf/1706.03762.pdf
LSTMs are on their retour in my opinion. They are a hack to make memory in recurrent networks more persistent. In practice they overfit too easy. They are being replaced with convolutional networks. Have a look at the…