Sequencing - Turning sentences into data (NLP Zero to Hero - Part 2)
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- Опубліковано 24 лют 2020
- Welcome to Zero to Hero for Natural Language Processing using TensorFlow! If you’re not an expert on AI or ML, don’t worry -- we’re taking the concepts of NLP and teaching them from first principles with our host Laurence Moroney (@lmoroney).
In the last video you learned about how to tokenize words using TensorFlow’s tools. In this video you’ll take that to the next step -- creating sequences of numbers from your sentences, and using tools to process them to make them ready for teaching neural networks.
Codelab → goo.gle/tfw-nlp2
NLP Zero to Hero playlist → goo.gle/nlp-z2h
Subscribe to the TensorFlow channel → goo.gle/TensorFlow - Наука та технологія
best TensorFlow basic tutorials ever.
As a self taught {whatever I am} that believes in open source I appreciate the videos more than you can imagine. Life changing knowledge right here folks.
Glad you enjoyed the video! Here is the playlist to catch up on the whole series → goo.gle/nlp-z2h
I love the way he teaches this, so intriguing
I loved the edx course you taught and hope you will teach another one on NLP and tensorflow js. Thx!
You are amazing sir, absolutely amazing
super helpful series of videos. I have read so many articles but this has been the clearest and easiest to understand.
Loved the trick! Awesome!
very clear, awesome sir
lovely stuff
Thanks for your efforts.
Wow great explanation !
Thnk for teching it help me a lot
Nice Explanation.Sir
What a simple explanation. Looking forward to next video and really want to see word2vec and BERT as simple as possible.
Haha, BERT would be nice. WIll look into it
will those who don't have any knowledge of deep learning and ML will also be able to understand this playlist to great extent.
waiting and excited for seq2seq models ❤
Someday! :)
The best thing ever🤩🤩
dang, can't wait
It's already on the channel :)
amazing stuff
Thanks!
nice job
great, I wish I had seen this earlier
I love this course but I will need an exercise on NLP part of speech tagging
which book to buy for the most update information for this part ? NLP with TF 2, thanks
Thanks for the video
I wish one day I could have a chance to work together Mr.Moroney
Great!!! Google is Playing vital role to develop the entire Globe 👍
We're trying to help where we can
Can I simply import a dictionary api of some kind that identifies all English words beforehand?
Can we find the text similarity using this
❤️
Thanks!
Waiting for word embedding
Next video talks about it a bit
Y
If this is how google teaches things then I am ready to pay them the money I might using to buy ps5. Simply awesome
What word2vec is better then tokenizer which is good
Any one can help me i need to know how to find the text similarity
Nice explanation
Thanks!
I can't understand why sequence is needed !? Can't we train the model just by tokenizing the words and don't use the sequenceing code ?
waiting for the next video in the series.
It's now available!
like me doing my hearing test
lol Why does this look like a series of linear equations in a matrix where the missing variables are represented by 0s
import tensorflow as tf
That's the one
Really?
ReALLy :D
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Haha, we're both slower than Aryan Nohara