Tensorflow Seq2seq Tutorials
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| Tensorflow Examples | 42,312 | 5 months ago | 218 | other | Jupyter Notebook | |||||
| TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) | ||||||||||
| Gold Miner | 32,106 | 2 days ago | 5 | |||||||
| 🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台： | ||||||||||
| 100 Days Of Ml Code | 17,892 | a year ago | 9 | mit | Jupyter Notebook | |||||
| 100-Days-Of-ML-Code中文版 | ||||||||||
| Awesome Tensorflow | 16,809 | 3 months ago | 30 | cc0-1.0 | ||||||
| TensorFlow - A curated list of dedicated resources http://tensorflow.org | ||||||||||
| Nlp Tutorial | 12,146 | a month ago | 33 | mit | Jupyter Notebook | |||||
| Natural Language Processing Tutorial for Deep Learning Researchers | ||||||||||
| Stanford Tensorflow Tutorials | 10,215 | 2 years ago | 88 | mit | Python | |||||
| This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research. | ||||||||||
| Mit Deep Learning | 9,328 | 5 months ago | 15 | mit | Jupyter Notebook | |||||
| Tutorials, assignments, and competitions for MIT Deep Learning related courses. | ||||||||||
| Tensorflow Tutorials | 8,644 | 2 years ago | 2 | mit | Jupyter Notebook | |||||
| TensorFlow Tutorials with YouTube Videos | ||||||||||
| Tensorflow2_tutorials_chinese | 6,541 | 2 years ago | 15 | Jupyter Notebook | ||||||
| tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials | ||||||||||
| Tensorflow Tutorials | 5,861 | 4 years ago | 17 | Jupyter Notebook | ||||||
| Simple tutorials using Google's TensorFlow Framework | ||||||||||
seq2seq with TensorFlow
Collection of unfinished tutorials. May be good for educational purposes.
1 - simple sequence-to-sequence model with dynamic unrolling
Deliberately slow-moving, explicit tutorial. I tried to thoroughly explain everything that I found in any way confusing.
Implements simple seq2seq model described in Sutskever at al., 2014 and tests it against toy memorization task.
Picture from Sutskever at al., 2014
2 - advanced dynamic seq2seq
Encoder is bidirectional now. Decoder is implemented using
tf.nn.raw_rnn. It feeds previously generated tokens during training as inputs, instead of target sequence.
Picture from Deep Learning for Chatbots
3 - Using tf.contrib.seq2seq (TF<=1.1)
New dynamic seq2seq appeared in r1.0. Let's try it.
UPDATE: that this tutorial doesn't work with tf version > 1.1, API. I recommend checking out new official tutorial instead to learn high-level seq2seq API.
