RNN神经网络- 吴恩达Andrew Ng 循环神经网络Recurrent Neural Networks Week1 知识总结

Posted 架构师易筋

tags:

篇首语:本文由小常识网(cha138.com)小编为大家整理,主要介绍了RNN神经网络- 吴恩达Andrew Ng 循环神经网络Recurrent Neural Networks Week1 知识总结相关的知识,希望对你有一定的参考价值。

1. Why sequence models? - Recurrent Neural Networks

2. Notation - Recurrent Neural Networks



3. Recurrent Neural Network Model


![在这里插入图片描述](https://img-blog.csdnimg.cn/7c7d0cd5067842068e059cedf93156b5.png#pic_center =600x

4. Backpropagation through time - Recurrent Neural Networks

5. Different types of RNNs - Recurrent Neural Networks




6. Language model and sequence generation - Recurrent Neural Networks



7. Sampling novel sequences - Recurrent Neural Networks



8. Vanishing gradients with RNNs - Recurrent Neural Networks

9. Gate Recurrent Unit (GRU) - Recurrent Neural Networks



10. LSTM (long short term memory) unit - Recurrent Neural Networks



11. Bidirectional RNN - Recurrent Neural Networks


12. Deep RNNs - Recurrent Neural Networks

参考

https://www.coursera.org/learn/nlp-sequence-models/supplement/TsCLx/lectures-in-pdf

以上是关于RNN神经网络- 吴恩达Andrew Ng 循环神经网络Recurrent Neural Networks Week1 知识总结的主要内容,如果未能解决你的问题,请参考以下文章

RNN神经网络- 吴恩达Andrew Ng 循环神经网络Recurrent Neural Networks Week1 知识总结

RNN神经网络- 吴恩达Andrew Ng 循环神经网络 语音识别Sequence Models and the Attention Mechanism Week3 知识总结

RNN神经网络- 吴恩达Andrew Ng 循环神经网络 NLP Natural Language processing and word Embeddings Week2 知识总结

深度学习 吴恩达 Andrew Ng

神经网络- 吴恩达Andrew Ng CNN卷积神经网络 Object Detection Week3 知识总结

神经网络- 吴恩达Andrew Ng CNN卷积神经网络 Convolutional Neural Networks Week1 知识总结