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RNN 모델은 sequence data를 주로 다루는 모델입니다.
입력 데이터가 (N,T,D) 형태로 LSTM 모델에 들어갑니다.
구현 코드에서 T=1인 형태로 batch data가 입력되고 있습니다.
이런 경우에 굳이 LSTM 모델을 사용해서 얻는 장점이 전혀 없습니다.
Dense를 사용하면 되지 않나요?
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Hi
I was trying to run ' python a3c_main.py --evaluate 2 --load saved/pretrained_model' to run inference using the pre-trained model. However, I faced the following dimension error without changing…
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Hi,
I have been trying to train your a3c model on breakout game.
I am running it on a p2.xlarge instance and the params I am using are:
tmax: 40m
num_concurrent: 16
everything else is defau…
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각 댓글에 사항 하나씩 정리하기.
어떤 사항에 추가사항이 있을 경우 댓글 수정.
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I am new to pyTorch, just cloned your codes and ran them, but got an error. I hope you to point me to the right direction to fix this issue.
More specifics:
1. used conda env with python 3.6
…
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I ran the notebook without any changes on the vizdoom environment. After around an hour the reward became non-negative and peaked at around 0.7, but continuing to run the code resulted in the reward g…
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Hi, I am new to Tensorflow and interested in running this project.
But I don't see test descriptions in your readme wiki. Could you please give a description how to test the model?
Thanks a lot.
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Hello,
May I ask a naive question, did you try to implement LSTM on this architecture? Or you already did it and find it is not efficient (maybe time consuming?) as people think.
In any case th…
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제가 코랩을 이용하는데, 코랩에서도 구현 가능한가요..?
파일이 많이 나누어져있어서 어렵네요..
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Google Next Extended Seoul 2018 | Festa!
https://festa.io/events/104
[Google Next Extended Seoul 행사는 빅데이터, 머신러닝, 데이터베이스, 서버리스 등 다양한 Google Cloud Platform 활용 사례를 공유하고 배우는 자리입니다. ]
...그렇다고 합니다. 이번 주말…