Long Short-Term Memory for NLP (NLP Zero to Hero - Part 5)
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- Опубліковано 21 сер 2024
- Welcome to episode 5 of our Natural Language Processing with TensorFlow series. In this video we’re going to take a look at how to manage the understanding of context in language across longer sentences, where we can see that the impact of a word early in the sentence can determine the meaning and semantics of the end of the sentence. We’ll use something called an LSTM, or Long Short-Term Memory to achieve this.
NLP Zero to Hero playlist → goo.gle/nlp-z2h
Subscribe to the TensorFlow channel → goo.gle/Tensor...
I love your simple & crystal clear explanation which anyone can understand easily, Laurence
This channel is more like getting familiar with terminology than anything else...I am here after I've watched it, finished the coursera related course (TF specialization), and came back again to here...It helps as an icebreaker to the topic. Something Laurence is gifted at!
I really enjoyed the fluency of the presentation and how you make it sound easy to understand. I have a question for you. how can i use word embeddings of a text column in my data along with a set of numerical and categorical features to fit a bidirectional lstm? I have a text column in my data and the rest of features are mixture of numerical and categorical
Hello Lawrence
I am a student in Tensorflow in practice specialization. I want to thank you for all the efforts you and andrew are putting in making AI and coding with tensorflow framework a common place skill.
I am in the 2nd course of specialization and have a good feeling about my progress. I was thinking of taking tensorflow certificate exam. But I got few doubts in my mind whether just this specialization will be enough or not for test preparation.
Till now in the course module covered is just tf.keras but we have lots of other modules as well in tensorflow like tf.data, tf.saved_model, tf.estimator, tf.errors etc.
What about them ? Will the test comprise of stuffs from those modules ?
Will we see you applying and explaining those modules in any of courses in future ?
lastly, can i help you in anyway in activities that you are doing ?
Other libraries are in the courses as needed. There's a complete course on tf.data for example...
Thanks For your Efforts.
TensorFlow is a delicacy.. love it
Thanks! :)
What should I do for multi class text classification?
This is so much fun! I really hope you could teach Time Series and forecasting please
That'll be the next series :)
Thank you!
Yup buddy you Rock,keep it yup.🥺🥺🥺😍👍
Why few videos are on Google developers and some on tf ??
Nice Tutorial.Sir
When you stack multiple LSTM layers, shouldn't one make sure the activation functions are non-linear so that it has a positive effect on model capacity? I didn't see that in the example shown in this video.
Sir, can we use Tensor flow for unsupervised learning like text clustering using word embedding ??
Sure :)
How to implement of "CNN+BiLSTM" Of NLP project.
Not totally on the topic, but are there public datasets available for NLP in domains such as finance (stock market)? Sentiment analysis seems trending, but you need somehow a labeled dataset of financial news/Twitter posts etc. Or without any labelling, you are left to use some kind of unsupervised learning along, but it might affect your overall structure etc.
Not sure of any, but check Kaggle or Google Dataset Search
Next video???😢😢
weekly :) -- And it was just released today....
hey if we believe in you,I think we cannot acheive any goals regarding to this channel specifically
:)