티스토리 뷰
- Pixel Recurrent Neural Networks, Oord, Kalchbrenner, Kavukcuoglu ,2016,
https://arxiv.org/pdf/1601.06759v3.pdf - Conditional Image Generation with PixelCNN Decoders, Oord, Kalchbrenner, 2016, https://arxiv.org/pdf/1606.05328.pdf
- PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications, Salimans, Karpathy, Chen, Kingma, 2017
https://arxiv.org/pdf/1701.05517.pdf - Generative image modeling using spatial LSTM, Theis & Bethge, 2015,
https://arxiv.org/pdf/1506.03478.pdf - Deep Learning, Goodfellow, Bengio, Courville, MIT, 2016
- URLS
stanford.edu/~shervine/teaching/cs-230/cheatsheet-recurrent-neural-networks
CS 230 - Recurrent Neural Networks Cheatsheet
Would you like to see this cheatsheet in your native language? You can help us translating it on GitHub! CS 230 - Deep Learning English فارسی Français 日本語 한국어 Türkçe Tiếng Việt Convolutional Neural Networks Recurrent Neural Netw
stanford.edu
http://colah.github.io/posts/2015-08-Understanding-LSTMs/
Understanding LSTM Networks -- colah's blog
Posted on August 27, 2015 Humans don’t start their thinking from scratch every second. As you read this essay, you understand each word based on your understanding of previous words. You don’t throw everything away and start thinking
colah.github.io
https://d2l.ai/chapter_recurrent-modern/deep-rnn.html
9.3. Deep Recurrent Neural Networks — Dive into Deep Learning 0.14.3 documentation
d2l.ai
https://ko.wikipedia.org/wiki/합성곱
합성곱 - 위키백과, 우리 모두의 백과사전
위키백과, 우리 모두의 백과사전. 합성곱(合成-, convolution, 콘벌루션)은 하나의 함수와 또 다른 함수를 반전 이동한 값을 곱한 다음, 구간에 대해 적분하여 새로운 함수를 구하는 수학 연산자이다
ko.wikipedia.org
https://mc.ai/complete-guide-of-activation-functions/
Complete Guide of Activation Functions
Source: Deep Learning on Medium A practical guide related to benefits, problems, and comparison of activation functions like Sigmoid, tanh, ReLU, Leaky ReLU and MaxoutPawan JainJun 12If you ev…
mc.ai
https://github.com/philkuz/PixelRNN
philkuz/PixelRNN
Accompanying repo for the O'Reilly Article, `Using Tensorflow to Generate Images with PixelRNNs` - philkuz/PixelRNN
github.com
https://towardsdatascience.com/auto-regressive-generative-models-pixelrnn-pixelcnn-32d192911173
Auto-Regressive Generative Models (PixelRNN, PixelCNN++)
Authors : Harshit Sharma, Saurabh Mishra
towardsdatascience.com