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Neural networks

Wikipedia Recurrent neural network

the natural architecture of NN to deal with sequences.

NN where **connections between units form a directed cycle**. This creates an **internal state of the network** which allows it to exhibit **dynamic temporal behavior**. Unlike feedforward neural networks, RNNs can use their internal memory to process arbitrary sequences of inputs. This makes them applicable to tasks such as unsegmented connected handwriting recognition or speech recognition.

2 broad classes: finite impulse and infinite impulse (a finite impulse RNN can be unrolled and replaced with a strictly feedforward neural network)

Problems with RNNs:

- they suffer from the **vanishing gradient problem** that prevents
them from learning long-range dependencies. [#LSTMs](/tag/lstm_networks) improve upon this
by using a gating mechanism that allows for explicit memory deletes and
updates.
- inherently sequential computation which prevents parallelization across elements of the input sequence

RNN in NLP:

- Goal: reprenting a sequence of words as dense vectors
- input: seq of words (or chars)
- ouput: a seq of hidden states with each a representation of the seq from the beginning to a specific posiition
- advantages: encoding sequential relationships and dependency among words

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16 Έγγραφα (Όλα τα έγγραφα)

The Unreasonable Syntactic Expressivity of RNNs · John Hewitt

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Recurrent neural network

2020-11-07 About

Dr Simon Osindero sur Twitter : "Neat! Transformers as RNNs"

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2020-07-02 About

How do RNNs differ from Markov Chains? - Quora

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2018-11-15 About

Attention and Augmented Recurrent Neural Networks (2016)

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2018-05-31 About

Taming Recurrent Neural Networks for Better Summarization | Abigail See

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2017-12-06 About

Recurrent neural networks and LSTM tutorial in Python and TensorFlow - Adventures in Machine Learning

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2017-10-23 About

How does one apply deep learning to time series forecasting? - Quora

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2017-10-22 About

A Beginner's Guide to Recurrent Networks and LSTMs - Deeplearning4j

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2017-10-22 About

What is the best tutorial on RNN, LSTM, BRNN, and BLSTM with visualization? - Quora

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2017-09-26 About

Embed, encode, attend, predict: The new deep learning formula for state-of-the-art NLP models | Blog | Explosion AI

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2017-07-20 About

Recurrent Neural Networks with Word Embeddings — DeepLearning 0.1 documentation

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2017-06-16 About

The Unreasonable Effectiveness of Recurrent Neural Networks

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2016-02-28 About

[1602.02410] Exploring the Limits of Language Modeling

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2016-02-09 About

[1601.01272] Recurrent Memory Networks for Language Modeling

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2016-01-09 About

Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs | WildML

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2015-11-08 About

Deep Learning, NLP, and Representations - colah's blog

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2015-10-16 About

Ιδιότητες

sl:creationDate : 2015-11-08
sl:creationTime : 2015-11-08T18:38:00Z
sl:describedBy : https://en.wikipedia.org/wiki/Recurrent_neural_network
rdf:type : sl:Tag
skos:altLabel : RNN
skos:prefLabel : Recurrent neural network@en