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Keras's implementation of Convolutional LSTM (https://www.tensorflow.org/api_docs/python/tf/keras/layers/ConvLSTM2D) uses `recurrent_intializer = orthogonal` to avoid exploding gradients.
This impl…
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- [ ] [ Neural Baby Talk](http://openaccess.thecvf.com/content_cvpr_2018/papers/Lu_Neural_Baby_Talk_CVPR_2018_paper.pdf)
Keywords:
Image captioning
predict template-like sentences
Reference: [Hy…
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**Installation**
https://medium.com/@vivek.yadav/deep-learning-setup-for-ubuntu-16-04-tensorflow-1-2-keras-opencv3-python3-cuda8-and-cudnn5-1-324438dd46f0
**Introduction to Statistics for Data S…
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How do I remove LSTM layer , I don't need one ? what changes should I do ?
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Models:
- SVM
- Tacotron encoder
- XGBoost
- Neural network
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**Thanks for great repo , The model can be trained normally, but when I replace the lstm layer with a convolutional layer or linear layer ,the model can't converge, and the loss decreased from 270 to…
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I really wish it was evident in the Title
Tinker With a Neural Network (Using the: XNN / Using LSTM: No) Right Here in Your Browser.
Don’t Worry, You Can’t Break It. We Promise.
Pick XNN from se…
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Hi,
This is a very excellent work for me and I have read the core code of SCA-CNN model! Thank you a lot for providing the code in Pytorch.
I have a question with the code following:
wh…
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Hi,
I have read the paper but I have some problems to understand what happened in this paper. Would it be possible for you to help me?
In this directory "https://github.com/deepchem/deepchem/blob/m…