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RNN의 문제점을 개선하기 위해서 고안한 것이 LSTM인데, RNN에 대한 기초적인 이해가 부족하니, LSTM에 대한 이해도 힘들다.
다시 RNN에 대해서 복습을 해보자.
하지만 교재의 설명은 아무리 읽어봐도 이해하기가 너무 힘들다. 설명이 좀 빈약한듯.
그렇다고 해서 인터넷 여기저기를 뒤적 거리는 방법은.. 빠른 문제 해결에는 직빵이지…
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Choosing an object detection and tracking approach for an application nowadays might become overwhelming. This article is an endeavor to summarize the best methods and trends in these essential topics…
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after Train model with network.arch and test,
I try to General feature_extractor.bin by streaming_tds_model_converter , terminate called after throwing an instance of 'std::invalid_argument'
comman…
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If pose_matching is set to False, would this make only the spatial graph convolutions work on a frame basis with no temporal connections? In this case, are features from each frame just stacked togeth…
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My goal is to train a model that can output sequences of text from image inputs. Using the IAM handwriting dataset for example, we would pass the model an image
![image](https://user-images.github…
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Dear authors,
I have read your code, but I have one question about the concatenting connection about 3/2D convolution.
The paper (MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition…
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Hello,
I have to apologize that I'm not a math expert, but I wish to implement a GAN network using TCN in the discriminator model to process a generated sequence with dynamic length. Is it possible …
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Hi, thank you for sharing the great codebase. I am looking at the SlowFast model builder, and find an extra pooling layer between `res2` and `res3` stage. I didn't find it in the paper.
https://gi…
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Khan, Boris - see a frame from the video game "Super Contra" and some blobs, looking like Tetris, rendered by the work-in-progress C++ implementation inspired by CogAlgo comparison methods.
Howeve…