Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs
Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs What is RNN？ RNN的核心思想是利用时序信息。在传统的神经网络中，我们通常假设所有的输入(输出)相互之间都是独立的。但是在很多实际的应用中这是一个非常不好的假设。比如我们要预测一个句子中的下一个单词，我们最好能知道上一个单词是什么。
相关文章
- 1. Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs
- 2. Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs学习笔记
- 3. Introduction to Recurrent Neural Networks
- 4. RNN教程, Part 1—Introduction to RNNs
- 5. Fundamentals of Deep Learning – Introduction to Recurrent Neural Networks
- 6. Recurrent Neural Networks Tutorial阅读笔记
- 7. Recurrent Neural Networks Tutorial, Part 3 – Backpropagation Through Time and Vanishing Gradients
- 8. Recurrent Neural Networks Tutorial, Part 2 – Implementing a RNN with Python, Numpy and Theano
- 9. Introduction To Neural Networks
- 10. Introduction to neural networks
- 更多相关文章...
- • PHP preg_match_all() 函数 - PHP参考手册
- • Web 品质 - 重要的 HTML 元素 - 网站品质教程
- • Flink 数据传输及反压详解
- • Git五分钟教程
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs
- 2. Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs学习笔记
- 3. Introduction to Recurrent Neural Networks
- 4. RNN教程, Part 1—Introduction to RNNs
- 5. Fundamentals of Deep Learning – Introduction to Recurrent Neural Networks
- 6. Recurrent Neural Networks Tutorial阅读笔记
- 7. Recurrent Neural Networks Tutorial, Part 3 – Backpropagation Through Time and Vanishing Gradients
- 8. Recurrent Neural Networks Tutorial, Part 2 – Implementing a RNN with Python, Numpy and Theano
- 9. Introduction To Neural Networks
- 10. Introduction to neural networks