googlernn

前者大多是利用卷積神經網路（convolutionalneuralnetworks，CNN）所完成，後者則多利用遞歸神經網路（recurrentneuralnetworks，RNN），尤其是長短期記憶模型（longshort-term ...,Recurrentneuralnetworks(RNN)areaclassofneuralnetworksthatispowerfulformodelingsequencedatasuchastimeseriesornaturallanguage.,ThisisthelibraryfortheUnboundedInterleaved-StateRecurrentNeuralNetwork(UIS-RNN)algorithm.UIS-RNNsolves...

遞歸神經網路（RNN）和長短期記憶模型（LSTM）的運作原理

前者大多是利用卷積神經網路（convolutional neural networks，CNN）所完成，後者則多利用遞歸神經網路（recurrent neural networks，RNN），尤其是長短期記憶模型（long short-term ...

Recurrent Neural Networks (RNN) with Keras

Recurrent neural networks (RNN) are a class of neural networks that is powerful for modeling sequence data such as time series or natural language.

googleuis-rnn

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm. UIS-RNN solves the problem of segmenting and ...

[Day7] Pixel RNN，簡單，卻不失優雅

Pixel RNN是一個基於深度RNN的模型，它可以在二維圖像上利用已知個單像素去生成相鄰的像素，進而以此規則生成新的圖像，不過按照這樣的邏輯來看，它只能以舊有的模式去生成圖像 ...

sketch

draw a shape, any shape.

Pixel RNN

We train a deep recurrent neural network to sequentially predict the pixels in an image. The network models the discrete joint probability of the raw pixel ...

Google新作试图“复活”RNN：RNN能否再次辉煌？

文章提出的RNN叫做LRU（Linear Recurrent Unit，线性循环单元），它是既可以并行又可以串行的极简线性RNN，训练和推断都具备高效的优势。LRU跟SSM（Structured ...

RNN

Below you can find all of the different resources in the Guide: practice problems, former Google interview questions, online courses, videos, and more.

Google新作试图“复活”RNN：RNN能否再次辉煌？