Recurrent Neural Networks (RNN) are designed based on the recursive nature of sequential data (such as language, speech, and time series) and are a type of feedback neural network that contains loops and self-repetitions, hence the name “recurrent”. They are specifically used to handle sequential data, such as generating text word by word or predicting … Read more
Author | Bill Vorhies Translator | Gai Lei Editor | Vincent AI Frontline Overview: From some interesting use cases, it seems we can completely combine CNN and RNN/LSTM. Many researchers are currently working on this research. However, the latest research trends in CNN may render this idea outdated. For more quality content, please follow the … Read more
In an era flooded with fragmented reading, fewer people pay attention to the exploration and thinking behind each paper. In this column, you will quickly get the highlights and pain points of selected papers, keeping up with the forefront of AI achievements. Click the “Read Original” at the bottom of this article to join the … Read more
Broadly speaking, NN (or the more elegant DNN) can indeed be considered to encompass specific variants like CNN and RNN. In practical applications, the so-called deep neural network DNN often integrates various known structures, including convolutional layers or LSTM units. However, based on the question posed, the DNN here should specifically refer to a fully … Read more
1 New Intelligence Compilation Source: distill.pub/2016/augmented-rnns Authors: Chris Olah & Shan Carter, Google Brain Translator: Wen Fei Today is September 10, 2016 Countdown to AI WORLD 2016 World Artificial Intelligence Conference: 38 days Countdown for Early Bird Tickets: 9 days [New Intelligence Guide] The Google Brain team, led by Chris Olah & Shan Carter, has … Read more
[Introduction] This article provides the background and overview of Dropout, as well as a parameter analysis of its application in language modeling using LSTM/GRU recurrent neural networks. Author｜Adrian G Compiled by｜Zhuanzhi Organized by｜Yingying Dropout Inspired by the role of gender in evolution, Hinton et al. first proposed Dropout, which temporarily removes units from the neural … Read more
Click the above “MLNLP” to select the “star” public account Essential content delivered promptly Author: Yulin Ling CS224N（1.29）Vanishing Gradients, Fancy RNNs Vanishing Gradient The figure below is a more vivid example. Suppose we need to predict the next word after the sentence “The writer of the books”. Due to the vanishing gradient, the influence of … Read more