In this chapter, we will implement deep learning for NLP:
Recipe 1. Information retrieval using deep learning
Recipe 2. Text classification using CNN, RNN, LSTM
Recipe 3. Predicting the next word/sequence of words using LSTM for Emails
Introduction to Deep Learning
Deep learning is a subfield of machine learning that is inspired by the
function of the brain. Just like how neurons are interconnected in the
brain, neural networks also work the same. Each neuron takes input, does
some kind of manipulation within the neuron, and produces an output
that is closer to the expected output (in the case of labeled data).
What happens within the neuron is what we are interested in: to get to
the most accurate results. In very simple words, it’s giving weight to every
input and generating a function to accumulate all these weights and pass it
onto the next layer, which can be the output layer eventually.
来源：CSDN
作者：BrainEditor
链接：https://blog.csdn.net/weixin_45514087/article/details/104191784