tf.nn.dynamic_rnnでDynamic Recurrent Neural Network - QiitaDeleted articles cannot be recovered. Draft of this article would be also deleted. Are you sure you want to delete this article?
しゅんけー on Twitter: "弊学大学院の名物授業，「エクセルでRecurrent Neural Networkを実装しよう」 https://t.co/ea7pNoGfpX"
弊学大学院の名物授業，「エクセルでRecurrent Neural Networkを実装しよう」 https://t.co/ea7pNoGfpX
A Tour of Recurrent Neural Network Algorithms for Deep Learning - MachineLearningMastery.com
As with all feed forward network paradigms, the issues are how to connect the input layer to the output layer, include feedback activations, and then train the construct to converge. Let’s now take a tour of the different types of recurrent neural networks, starting with very simple conceptions. Fully Recurrent Networks The layered topology of a multilayer Perceptron is preserved, but every elemen
How to Visualize Your Recurrent Neural Network with Attention in Keras
Neural networks are taking over every part of our lives. In particular — thanks to deep learning — Siri can fetch you a taxi using your voice; and Google can enhance and organize your photos automagically. Here at Datalogue, we use deep learning to structurally and semantically understand data, allowing us to prepare it for use automatically. Neural networks are massively successful in the domain
Going Wider: Recurrent Neural Network With Parallel Cells
Recurrent Neural Network (RNN) has been widely applied for sequence modeling. In RNN, the hidden states at current step are full connected to those at previous step, thus the influence from less related features at previous step may potentially decrease model's learning ability. We propose a simple technique called parallel cells (PCs) to enhance the learning ability of Recurrent Neural Network (R
A recurrent neural network without chaos
We introduce an exceptionally simple gated recurrent neural network (RNN) that achieves performance comparable to well-known gated architectures, such as LSTMs and GRUs, on the word-level language modeling task. We prove that our model has simple, predicable and non-chaotic dynamics. This stands in stark contrast to more standard gated architectures, whose underlying dynamical systems exhibit chao
Learning Simpler Language Models with the Differential State Framework
Learning useful information across long time lags is a critical and difficult problem for temporal neural models in tasks such as language modeling. Existing architectures that address the issue are often complex and costly to train. The Differential State Framework (DSF) is a simple and high-performing design that unifies previously introduced gated neural models. DSF models maintain longer-term
A Bag-of-Words Equivalent Recurrent Neural Network for Action Recognition
The traditional bag-of-words approach has found a wide range of applications in computer vision. The standard pipeline consists of a generation of a visual vocabulary, a quantization of the features into histograms of visual words, and a classification step for which usually a support vector machine in combination with a non-linear kernel is used. Given large amounts of data, however, the model su
Chun’s Machine Learning Page
What I talk when I talk about Tensorflow Updated: November 02, 2018 Some of my collegues, as well as many of my readers told me that they had problems using Tensorflow for their projects. Something like this: Installing NVIDIA Docker On Ubuntu 16.04 Updated: February 04, 2018 Hey guys, it has been quite a long while since my last blog post (for almost a year, I guess). Today, I am going to tell yo
Quasi-Recurrent Neural Network（QRNN）の GitHub既存スクリプト で、NLPデータ以外 の 数値時系列データ の ２クラス分類タスク が 解けるはず な 件 - Qiita
GitHub にある DingKe/qrnn/ の サンプルコード imbd_qrnn.py https://github.com/DingKe/qrnn/ は、 from keras.datasets import imdb で、kerasの組み込みデータセット imdb を 読み込んで いる。 このデータは、以下 の 公式解説 に よる と、 Keras Documentation データセット 「IMDB映画レビュー感情分類」 IMDB映画レビュー感情分類 感情(肯定/否定)のラベル付けをされた、25,000のIMDB映画レビューのデータセット。レビューは前処理済みで、各レビューは単語のインデックス(整数値)のシーケンスとしてエンコードされている。便宜上、単語はデータセットにおいての出現頻度によってインデックスされている。そのため例えば、整数値"3"はデータの中で3番目に頻度が多い単
Real-time interactive sequence generation and control with Recurrent Neural Network ensembles
Recurrent Neural Networks (RNN), particularly Long Short Term Memory (LSTM) RNNs, are a popular and very successful method for learning and generating sequences. However, current generative RNN techniques do not allow real-time interactive control of the sequence generation process, thus aren't well suited for live creative expression. We propose a method of real-time continuous control and 'steer
What Do Recurrent Neural Network Grammars Learn About Syntax?
Recurrent neural network grammars (RNNG) are a recently proposed probabilistic generative modeling family for natural language. They show state-of-the-art language modeling and parsing performance. We investigate what information they learn, from a linguistic perspective, through various ablations to the model and the data, and by augmenting the model with an attention mechanism (GA-RNNG) to enabl
DRAW: A Recurrent Neural Network For Image Generation
DRAW: A Recurrent Neural Network For Image Generation Karol Gregor KAROLG@GOOGLE.COM Ivo Danihelka DANIHELKA@GOOGLE.COM Alex Graves GRAVESA@GOOGLE.COM Danilo Jimenez Rezende DANILOR@GOOGLE.COM Daan Wierstra WIERSTRA@GOOGLE.COM Google DeepMind Abstract This paper introduces the Deep Recurrent Atten- tive Writer (DRAW) neural network architecture for image generation. DRAW networks combine a novel
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
https://cs.nyu.edu/~fergus/teaching/vision/13_visiontext.pdf
GitHub - aditya1503/Siamese-LSTM: Siamese Recurrent Neural network with LSTM for evaluating semantic similarity between sentences.
http://arxiv.org/pdf/1611.05774
What is exactly the attention mechanism introduced to RNN (recurrent neural network)? It would be nice if you could make it easy to under...
GitHub - armbues/deep_cyber: A recurrent neural network trained with tweets from #cyber #security companies
http://www.nlab.ci.i.u-tokyo.ac.jp/pdf/psivt2015.pdf
Consciousness is a recurrent neural network | Hacker News